artificial intelligence

A Networked Self and Human Augmentics Artificial Intelligence Sentience Every new technology invites its own sets of hopes and fears and raises as many questions as it answers revolving around the same theme: Will technology fundamentally alter the essence of what it means to be human? This volume draws inspiration from the work of the many luminaries who approach augmented alternative forms of intelligence and consciousness. Scholars contribute their thoughts on how human augmentic technologies and artificial or sentient forms of intelligence can be used to enable reimagine and reorganize how we understand our selves how we conceive the meaning of "human" and how we define meaning in our lives. Media > Books > Print Books Routledge 9781138705937

AI Meets BIArtificial Intelligence and Business Intelligence With the emergence of Artificial Intelligence (AI) in the business world a new era of Business Intelligence (BI) has been ushered in to create real-world business solutions using analytics. BI developers and practitioners now have tools and technologies to create systems and solutions to guide effective decision making. Decisions can be made on the basis of more reliable and accurate information and intelligence which can lead to valuable actionable insights for business. Previously BI professionals were stymied by bad or incomplete data poorly architected solutions or even just outright incapable systems or resources. With the advent of AI BI has new possibilities for effectiveness. This is a long-awaited phase for practitioners and developers and moreover for executives and leaders relying on knowledgeable and intelligent decision making for their organizations. Beginning with an outline of the traditional methods for implementing BI in the enterprise and how BI has evolved into using self-service analytics data discovery and most recently AI AI Meets BI first lays out the three typical architectures of the first second and third generations of BI. It then takes an in-depth look at various types of analytics and highlights how each of these can be implemented using AI-enabled algorithms and deep learning models. The crux of the book is four industry use cases. They describe how an enterprise can access assess and perform analytics on data by way of discovering data defining key metrics that enable the same defining governance rules and activating metadata for AI/ML recommendations. Explaining the implementation specifics of each of these four use cases by way of using various AI-enabled machine learning and deep learning algorithms this book provides complete code for each of the implementations along with the output of the code supplemented by visuals that aid in BI-enabled decision making. Concluding with a brief discussion of the cognitive computing aspects of AI the book looks at future trends including augmented analytics automated and autonomous BI and security and governance of AI-powered BI. Media > Books > Print Books Auerbach Publications 9780367643812

An Introduction To Artificial Intelligence An authoritative and accessible one-stop resource An Introduction to Artificial Intelligence presents the first full examination of AI. Designed to provide an understanding of the foundations of artificial intelligence it examines the central computational techniques employed by AI including knowledge representation search reasoning and learning as well as the principal application domains of expert systems natural language vision robotics software agents and cognitive modeling. Many of the major philosophical and ethical issues of AI are also introduced.Throughout the volume the authors provide detailed well-illustrated treatments of each topic with abundant examples and exercises. The authors bring this exciting field to life by presenting a substantial and robust introduction to artificial intelligence in a clear and concise coursebook form. This book stands as a core text for all computer scientists approaching AI for the first time. Media > Books > Print Books CRC Press 9781138435841

Artificial Intelligence Automation and the Future of Competence at Work Artificial intelligence and the autonomous robots of the Fourth Industrial Revolution will render certain jobs and competences obsolete but will also create new roles which in turn require new sets of skills. They will also transform how we produce distribute and consume as well as how we think. Rather than a linear understanding of evolutionary processes we will develop a more interactive and circular interpretation. This book offers a unique and holistic perspective on the future of work in the context of industry 4.0. It discusses the globalization of capital markets how artificial intelligence can help organizations to be more competitive and the new role of leadership in this technological landscape. The author argues that there are four categories of competences which will be required in order to maintain the relevance of human skills and expertise in the innovation economy. The new jobs that come into being will lend themselves to a particular set of skills. General competences will be necessary for roles involving the 4Cs of communication creativity collaboration and change. Specific or STEM competences will be called for across the science technology engineering and mathematics sectors. Human competences will lend themselves to positions comprising the SELC framework of social emotional leadership and cultural skills. Critical or REVE competences will be in demand for roles embracing reflection ethics values and the environment. The book provides a human-centric view of the current technological advancements of artificial intelligence and robotics and offers a positive outlook for human actors seeking continued relevance. It will appeal to scholars and students of the innovation economy the knowledge society and the coming Fourth Industrial Revolution. Media > Books > Print Books Routledge 9780367640460

Artificial Intelligence and Expert Systems for Engineers This book provides a comprehensive presentation of artificial intelligence (AI) methodologies and tools valuable for solving a wide spectrum of engineering problems. What's more it offers these AI tools on an accompanying disk with easy-to-use software. Artificial Intelligence and Expert Systems for Engineers details the AI-based methodologies known as: Knowledge-Based Expert Systems (KBES); Design Synthesis; Design Critiquing; and Case-Based Reasoning. KBES are the most popular AI-based tools and have been successfully applied to planning diagnosis classification monitoring and design problems. Case studies are provided with problems in engineering design for better understanding of the problem-solving models using the four methodologies in an integrated software environment.Throughout the book examples are given so that students and engineers can acquire skills in the use of AI-based methodologies for application to practical problems ranging from diagnosis to planning design and construction and manufacturing in various disciplines of engineering.Artificial Intelligence and Expert Systems for Engineers is a must-have reference for students teachers research scholars and professionals working in the area of civil engineering design in particular and engineering design in general. Media > Books > E-books CRC Press 9781315137773

Artificial Intelligence And International Politics This book provides an overview of the study of international relations using a computational modeling approach (abbreviated as Al/IR). It deals with general theoretical and applied issues in AI/IR subfield and also showcases actual research produced by those working in the AI/IR subfield. Media > Books > Print Books Routledge 9780367153588

Artificial Intelligence and Machine Learning for Business for Non-Engineers The next big area within the information and communication technology field is Artificial Intelligence (AI). The industry is moving to automate networks cloud-based systems (e.g. Salesforce) databases (e.g. Oracle) AWS machine learning (e.g. Amazon Lex) and creating infrastructure that has the ability to adapt in real-time to changes and learn what to anticipate in the future. It is an area of technology that is coming faster and penetrating more areas of business than any other in our history. AI will be used from the C-suite to the distribution warehouse floor. Replete with case studies this book provides a working knowledge of AI’s current and future capabilities and the impact it will have on every business. It covers everything from healthcare to warehousing banking finance and education. It is essential reading for anyone involved in industry. Media > Books > Print Books CRC Press 9780367365745

Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing Digital images have several benefits such as faster and inexpensive processing cost easy storage and communication immediate quality assessment multiple copying while preserving quality swift and economical reproduction and adaptable manipulation. Digital medical images play a vital role in everyday life. Medical imaging is the process of producing visible images of inner structures of the body for scientific and medical study and treatment as well as a view of the function of interior tissues. This process pursues disorder identification and management. Medical imaging in 2D and 3D includes many techniques and operations such as image gaining storage presentation and communication. The 2D and 3D images can be processed in multiple dimensions. Depending on the requirement of a specific problem one must identify various features of 2D or 3D images while applying suitable algorithms. These image processing techniques began in the 1960s and were used in such fields as space clinical purposes the arts and television image improvement. In the 1970s with the development of computer systems the cost of image processing was reduced and processes became faster. In the 2000s image processing became quicker inexpensive and simpler. In the 2020s image processing has become a more accurate more efficient and self-learning technology. This book highlights the framework of the robust and novel methods for medical image processing techniques in 2D and 3D. The chapters explore existing and emerging image challenges and opportunities in the medical field using various medical image processing techniques. The book discusses real-time applications for artificial intelligence and machine learning in medical image processing. The authors also discuss implementation strategies and future research directions for the design and application requirements of these systems. This book will benefit researchers in the medical image processing field as well as those looking to promote the mutual understanding of researchers within different disciplines that incorporate AI and machine learning. FEATURES Highlights the framework of robust and novel methods for medical image processing techniques Discusses implementation strategies and future research directions for the design and application requirements of medical imaging Examines real-time application needs Explores existing and emerging image challenges and opportunities in the medical field Media > Books > Print Books CRC Press 9780367374358

Artificial Intelligence and Soft ComputingBehavioral and Cognitive Modeling of the Human Brain With all the material available in the field of artificial intelligence (AI) and soft computing-texts monographs and journal articles-there remains a serious gap in the literature. Until now there has been no comprehensive resource accessible to a broad audience yet containing a depth and breadth of information that enables the reader to fully understand and readily apply AI and soft computing concepts.Artificial Intelligence and Soft Computing fills this gap. It presents both the traditional and the modern aspects of AI and soft computing in a clear insightful and highly comprehensive style. It provides an in-depth analysis of mathematical models and algorithms and demonstrates their applications in real world problems. Beginning with the behavioral perspective of "human cognition " the text covers the tools and techniques required for its intelligent realization on machines. The author addresses the classical aspects-search symbolic logic planning and machine learning-in detail and includes the latest research in these areas. He introduces the modern aspects of soft computing from first principles and discusses them in a manner that enables a beginner to grasp the subject. He also covers a number of other leading aspects of AI research including nonmonotonic and spatio-temporal reasoning knowledge acquisition and much more. Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain is unique for its diverse content clear presentation and overall completeness. It provides a practical detailed introduction that will prove valuable to computer science practitioners and students as well as to researchers migrating to the subject from other disciplines. Media > Books > E-books CRC Press 9781315219738

Artificial Intelligence and Software Engineering First published in 1998. Routledge is an imprint of Taylor & Francis an informa company. Media > Books > E-books Routledge 9780203058572

Artificial Intelligence and the Environmental CrisisCan Technology Really Save the World? A radical and challenging book which argues that artificial intelligence needs a completely different set of foundations based on ecological intelligence rather than human intelligence if it is to deliver on the promise of a better world. This can usher in the greatest transformation in human history an age of re-integration. Our very existence is dependent upon our context within the Earth System and so surely artificial intelligence must also be grounded within this context embracing emergence interconnectedness and real-time feedback. We discover many positive outcomes across the societal economic and environmental arenas and discuss how this transformation can be delivered.   Key Features: Identifies a key weakness in current AI thinking that threatens any hope of a better world. Highlights the importance of realizing that systems theory is an essential foundation for any technology that hopes to positively transform our world. Emphasizes the need for a radical new approach to AI based on ecological systems. Explains why ecosystem intelligence not human intelligence offers the best framework for AI. Examines how this new approach will impact on the three arenas of society environment and economics ushering in a new age of re-integration. Media > Books > Print Books Routledge 9780367436544

Artificial Intelligence and the Future of Testing This volume consists of a series of essays written by experts most of whom participated in a conference conducted by the Educational Testing Service to explore how current fields of artificial intelligence might contribute to ETS's plans to automate one or more of its testing activities. The papers presented in Artificial Intelligence and the Future of Testing touch on a variety of topics including mathematics tutors graph comprehension and computer vision student reasoning and human accessing modeling software design within a general problem-space architecture memory organization and retrieval and natural language systems. Also included: speculation on possible uses each AI specialty might have for a wide number of testing activities and selective critical commentaries by two eminent AI researchers. As Roy Freedle notes in his introduction "We are at an exciting juncture in applying AI to testing activities." The essays presented in this collection convey some of that excitement and represent an important step toward the merging of AI and testing -- a powerful combination that has the potential to instruct and inspire. Media > Books > Print Books Psychology Press 9781138987562

Artificial Intelligence and the LawCybercrime and Criminal Liability This volume presents new research in artificial intelligence (AI) and Law with special reference to criminal justice. It brings together leading international experts including computer scientists lawyers judges and cyber-psychologists. The book examines some of the core problems that technology raises for criminal law ranging from privacy and data protection to cyber-warfare through to the theft of virtual property. Focusing on the West and China the work considers the issue of AI and the Law in a comparative context presenting the research from a cross-jurisdictional and cross-disciplinary approach. As China becomes a global leader in AI and technology the book provides an essential in-depth understanding of domestic laws in both Western jurisdictions and China on criminal liability for cybercrime. As such it will be a valuable resource for academics and researchers working in the areas of AI technology and criminal justice. Media > Books > Print Books Routledge 9780367347970

Artificial Intelligence and the Two Singularities The science of AI was born a little over 60 years ago but for most of that time its achievements were modest. In 2012 it experienced a big bang when a branch of statistics called Machine Learning (and a sub-branch called Deep Learning) was applied to it. Now machines have surpassed humans in image recognition and they are catching up with us at speech recognition and natural language processing. Every day the media reports the launch of a new service a new product and a new demonstration powered by AI. When will it end? The surprising truth is the AI revolution has only just begun. Artificial Intelligence and the Two Singularities argues that in the course of this century the exponential growth in the capability of AI is likely to bring about two "singularities" - points at which conditions are so extreme that the normal rules break down. The first is the economic singularity when machine skill reaches a level that renders many of us unemployable and requires an overhaul of our current economic and social systems. The second is the technological singularity when machine intelligence reaches and then surpasses the cognitive abilities of an adult human relegating us to the second smartest species on the planet. These singularities will present huge challenges but this book argues that we can meet these challenges and overcome them. If we do the rewards could be almost unimaginable. This book covers: • Recent developments in AI and its future potential • The economic singularity and the technological singularity in depth • The risks and opportunities presented by AI • What actions we should take Artificial intelligence can turn out to be the best thing ever to happen to humanity making our future wonderful almost beyond imagination. But only if we address head-on the challenges that it will raise. Calum Chace is a best-selling author of fiction and non-fiction books and articles focusing on the subject of artificial intelligence. He is a regular speaker on artificial intelligence and related technologies and runs a blog on the subject at www.pandoras-brain. com. Prior to becoming a full-time writer and speaker he spent 30 years in business as a marketer a strategy consultant and a CEO. He studied philosophy at Oxford University where he discovered that the science fiction he had been reading since boyhood was simply philosophy in fancy dress. Media > Books > Print Books Chapman & Hall 9780815368533

Artificial Intelligence Applications on Wall Street Originally published in 1996 as a special issue journal Artificial Intelligence Applications on Wall Street presents a series of articles derived from papers at the Third International Conference on Artificial Intelligence Applications on Wall Street. The volume addresses how Artificial Intelligence can be used to address the variety of issues in that arise in the world of investments such as synthetic instruments forecasting and surveillance. It examines the potential problems surrounding economic assumption of rationality in a global market and how artificial intelligence can push the bounds of rationality. Media > Books > Print Books Routledge 9781138570870

Artificial Intelligence for Autonomous Networks Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization highlighting the exciting opportunities to integrate those two worlds.Outlining the new frontiers for autonomous networks this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation cyber security enterprise services 5G and IoT infrastructure monitoring and traffic optimization and finally customer experience and care.With contributions from leading experts this book will provide an invaluable resource for network engineers software engineers artificial intelligence and machine learning researchers. Media > Books > Print Books Chapman & Hall 9780367570965

Artificial Intelligence for Computer GamesAn Introduction Learn to make games that are more fun and engaging! Building on fundamental principles of Artificial Intelligence Funge explains how to create Non-Player Characters (NPCs) with progressively more sophisticated capabilities. Starting with the basic capability of acting in the game world the book explains how to develop NPCs who can perceive remember what they perceive and then continue in the game play to think about the effects of possible actions and finally learn from their experience. Funge considers the system architecture and explains how to implement potential behaviors (both reactive and deliberate) for intelligent and responsive NPCs allowing for games that are more fun and engaging. Emphasizing enduring design principles Funge covers the basics of Game AI and provides a clear easy to read introduction that beginning programmers and game designers will enjoy. Media > Books > Print Books A K Peters/CRC Press 9780367446567

Artificial Intelligence for Drug Development Precision Medicine and Healthcare Artificial Intelligence for Drug Development Precision Medicine and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research the book: ·       Covers broad AI topics in drug development precision medicine and healthcare. ·       Elaborates on supervised unsupervised reinforcement and evolutionary learning methods. ·       Introduces the similarity principle and related AI methods for both big and small data problems. ·       Offers a balance of statistical and algorithm-based approaches to AI. ·       Provides examples and real-world applications with hands-on R code. ·       Suggests the path forward for AI in medicine and artificial general intelligence.   As well as covering the history of AI and the innovative ideas methodologies and software implementation of the field the book offers a comprehensive review of AI applications in medical sciences. In addition readers will benefit from hands on exercises with included R code. Media > Books > Print Books Chapman & Hall 9780367362928

Artificial Intelligence Frontiers in StatisticsAl and Statistics III This book presents a summary of recent work on the interface between artificial intelligence and statistics. It does this through a series of papers by different authors working in different areas of this interface. These papers are a selected and referenced subset of papers presented at the 3rd Interntional Workshop on Artificial Intelligence and Statistics Florida January 1991. Media > Books > E-books Chapman & Hall 9781003059875

Artificial Intelligence in a Throughput ModelSome Major Algorithms Physical and behavioral biometric technologies such as fingerprinting facial recognition voice identification etc. have enhanced the level of security substantially in recent years. Governments and corporates have employed these technologies to achieve better customer satisfaction. However biometrics faces major challenges in reducing criminal terrorist activities and electronic frauds especially in choosing appropriate decision-making algorithms. To face this challenge new developments have been made that amalgamate biometrics with artificial intelligence (AI) in decision-making modeling. Advanced software algorithms of AI processing information offered by biometric technology achieve better results. This has led to growth in the biometrics technology industry and is set to increase the security and internal control operations manifold. This book provides an overview of the existing biometric technologies decision-making algorithms and the growth opportunity in biometrics. The book proposes a throughput model which draws on computer science economics and psychology to model perceptual informational sources judgmental processes and decision choice algorithms. It reviews how biometrics might be applied to reduce risks to individuals and organizations especially when dealing with digital-based media. Media > Books > Print Books CRC Press 9780367217815

Artificial Intelligence in AccountingPractical Applications Artificial Intelligence in Accounting: Practical Applications was written with a simple goal: to provide accountants with a foundational understanding of AI and its many business and accounting applications. It is meant to serve as a guide for identifying opportunities to implement AI initiatives to increase productivity and profitability.    This book will help you answer questions about what AI is and how it is used in the accounting profession today. Offering practical guidance that you can leverage for your organization this book provides an overview of essential AI concepts and technologies that accountants should know such as machine learning deep learning and natural language processing. It also describes accounting-specific applications of robotic process automation and text mining. Illustrated with case studies and interviews with representatives from global professional services firms this concise volume makes a significant contribution to examining the intersection of AI and the accounting profession. This innovative book also explores the challenges and ethical considerations of AI. It will be of great interest to accounting practitioners researchers educators and students. Media > Books > Print Books Routledge 9780367431778

Artificial Intelligence in Medical ImagingFrom Theory to Clinical Practice Choice Recommended Title January 2021 This book written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time detailing which applications triumphed and which failed from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today which are starting to exhibit on-par performance with clinical experts. In the last section the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use describing the recently introduced concept of software as a medical device as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored. The book will be of interest to graduate students in medical physics biomedical engineering and computer science in addition to researchers and medical professionals operating in the medical imaging domain who wish to better understand these technologies and the future of the field. Features: An accessible yet detailed overview of the field Explores a hot and growing topic Provides an interdisciplinary perspective Media > Books > Print Books CRC Press 9780367229177

Artificial Intelligence In Medicine This book presents the research efforts in the U. S. in artificial intelligence application techniques to medical decision making. It has grown out of a Symposium on Artificial Intelligence in Medicine presented at the 1979 Annual Meeting of the American Association for the Advancement of Science. Media > Books > Print Books Routledge 9780367172084

Artificial Intelligence in Power System Optimization With the considerable increase of AI applications AI is being increasingly used to solve optimization problems in engineering. In the past two decades the applications of artificial intelligence in power systems have attracted much research. This book covers the current level of applications of artificial intelligence to the optimization problems in power systems. This book serves as a textbook for graduate students in electric power system management and is also be useful for those who are interested in using artificial intelligence in power system optimization. Media > Books > Print Books CRC Press 9781578088058

Artificial Intelligence Programming Artificial intelligence research has thrived in the years since this best-selling AI classic was first published. The revision encompasses these advances by adapting its coding to Common Lisp the well-documented language standard and by bringing together even more useful programming tools. Today's programmers in AI will find this volume's superior coverage of programming techniques and easily applicable style anything but common. Media > Books > E-books Psychology Press 9781315802251

Artificial Intelligence Safety and Security The history of robotics and artificial intelligence in many ways is also the history of humanity’s attempts to control such technologies. From the Golem of Prague to the military robots of modernity the debate continues as to what degree of independence such entities should have and how to make sure that they do not turn on us its inventors. Numerous recent advancements in all aspects of research development and deployment of intelligent systems are well publicized but safety and security issues related to AI are rarely addressed. This book is proposed to mitigate this fundamental problem. It is comprised of chapters from leading AI Safety researchers addressing different aspects of the AI control problem as it relates to the development of safe and secure artificial intelligence. The book is the first edited volume dedicated to addressing challenges of constructing safe and secure advanced machine intelligence. The chapters vary in length and technical content from broad interest opinion essays to highly formalized algorithmic approaches to specific problems. All chapters are self-contained and could be read in any order or skipped without a loss of comprehension. Media > Books > Print Books Chapman & Hall 9780815369820

Artificial Intelligence Techniques in IoT Sensor Networks Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers academicians students and professionals interested in artificial intelligence (AI) sensor networks and Internet of Things (IoT). This book is intended to develop a shared understanding of applications of AI techniques in the present and near term. The book maps the technical impacts of AI technologies applications and their implications on the design of solutions for sensor networks. This text introduces researchers and aspiring academicians to the latest developments and trends in AI applications for sensor networks in a clear and well-organized manner. It is mainly useful for research scholars in sensor networks and AI techniques. In addition professionals and practitioners working on the design of real-time applications for sensor networks may benefit directly from this book. Moreover graduate and master’s students of any departments related to AI IoT and sensor networks can find this book fascinating for developing expert systems or real-time applications. This book is written in a simple and easy language discussing the fundamentals which relieves the requirement of having early backgrounds in the field. From this expectation　and experience many libraries will be interested in owning copies of this work. Media > Books > Print Books Chapman & Hall 9780367439255

Artificial Intelligence ToolsDecision Support Systems in Condition Monitoring and DIagnosis Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM). This indispensable resource:Addresses nearest-neighbor-based clustering-based statistical and information theory-based techniquesConsiders the merits of each technique as well as the issues associated with real-life applicationCovers classification methods from neural networks to Bayesian and support vector machinesProposes fuzzy logic to explain the uncertainties associated with diagnostic processes Provides data sets sample signals and MATLAB® code for algorithm testingArtificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis delivers a thorough evaluation of the latest AI tools for CM describing the most common fault diagnosis techniques used and the data acquired when these techniques are applied. Media > Books > Print Books CRC Press 9780367738358

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches Artificial Intelligence (AI) when incorporated with machine learning and deep learning algorithms has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images covers the automation of a system through machine learning and deep learning approaches presents data analytics and mining for decision-support applications and includes case-based reasoning natural language processing computer vision and AI approaches in real-time applications. Academic scientists researchers and students in the various domains of computer science engineering electronics and communication engineering and information technology as well as industrial engineers biomedical engineers and management will find this book useful. By the end of this book you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems. Features Includes AI-based decision-making approaches Discusses computational intelligence in the detection and diagnosis of clinical and biomedical images Covers automation of systems through machine learning and deep learning approaches and its implications to the real world Presents data analytics and mining for decision-support applications Offers case-based reasoning Media > Books > Print Books CRC Press 9780367417277

Artificial Intelligence with Uncertainty This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence and introduce efficient physical methods for data mining amd control. In this new edition we have more in-depth description of the models and methods of which the mathematical properties are proved strictly which make these theories and methods more complete. The authors also highlight their latest research results. Media > Books > Print Books CRC Press 9780367573683

Artificial Intelligence: The Basics 'if AI is outside your field or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.'  - Nick Smith Engineering and Technology Magazine November 2011 Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast moving world of AI. The author Kevin Warwick a pioneer in the field examines issues of what it means to be man or machine and looks at advances in robotics which have blurred the boundaries. Topics covered include: how intelligence can be defined whether machines can 'think' sensory input in machine systems the nature of consciousness the controversial culturing of human neurons. Exploring issues at the heart of the subject this book is suitable for anyone interested in AI and provides an illuminating and accessible introduction to this fascinating subject. Media > Books > Print Books Routledge 9780415564830

Artificial IntelligenceAn Introduction First published in 1987 this book provides a stimulating introduction to artificial intelligence (AI) - the science of thinking machines. After a general introduction to AI including its history tools research methods and its relation to psychology Garnham gives an account of AI research in five major areas: knowledge representation vision thinking and reasoning language and learning. He then describes the more important applications of AI and discusses the broader philosophical issues raised by the possibility of thinking machines. In the final chapter he speculates about future research in AI and more generally in cognitive science. Suitable for psychology students the book also provides useful background reading for courses on vision thinking and reasoning language and learning.   Media > Books > Print Books Routledge 9781138569140

Artificial IntelligenceApplications in Healthcare Delivery The rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning computer vision natural language processing and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine population health genomics healthcare administration and delivery. Readers especially healthcare professionals and managers will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine population health genomics healthcare administration and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains. Media > Books > Print Books Productivity Press 9780367321512

Artificial IntelligenceEvolution Ethics and Public Policy What will the future be? A dystopian landscape controlled by machines or a brave new world full of possibilities? Perhaps the answer lies with Artificial Intelligence (AI)—a phenomenon much beyond technology that has continues to and will shape lives in ways we do not understand yet. This book traces the evolution of AI in contemporary history. It analyses how AI is primarily being driven by "capital" as the only "factor of production" and its consequences for the global political economy. It further explores the dystopian prospect of mass unemployment by AI and takes up the ethical aspects of AI and its possible use in undermining natural and fundamental rights. A tract for the times this volume will be a major intervention in an area that is heavily debated but rarely understood. It will be essential reading for researchers and students of digital humanities politics economics science and technology studies physics and computer science. It will also be key reading for policy makers cyber experts and bureaucrats. Media > Books > Print Books Routledge India 9781138625389

Artificial IntelligenceIts Philosophy and Neural Context Originally published in 1986 in order to probe dispute and analyse the role of artificial intelligence in cybernetic thought and information science the author pursues this topic within its philosophical behavioral and neurophysiological contexts while drawing attention to cognitive issues. By elucidating the problems and potential associated with knowledge-based systems the book emphasized the need to examine artificial intelligence in its own right. Media > Books > Print Books Routledge 9780815363415

Artificial IntelligenceResearch Directions in Cognitive Science: European Perspectives Vol. 5 Originally published in 1992 this title reviews seven major subareas in artificial intelligence at that time: knowledge acquisition; logic programming and representation; machine learning; natural language; vision; the design of an AI programming environment; and medicine a major application area of AI. This volume was an attempt primarily to inform fellow AI workers of recent European work in AI. It was hoped that researchers in ‘sister’ disciplines such as computer science and linguistics would gain a deeper understanding of the assumptions techniques and tools of contemporary AI. Media > Books > Print Books Routledge 9780367405960

Artificial IntelligenceThe Case Against The purpose of this book originally published in 1987 was to contribute to the advance of artificial intelligence (AI) by clarifying and removing the major sources of philosophical confusion at the time which continued to preoccupy scientists and thereby impede research. Unlike the vast majority of philosophical critiques of AI however each of the authors in this volume has made a serious attempt to come to terms with the scientific theories that have been developed rather than attacking superficial ‘straw men’ which bear scant resemblance to the complex theories that have been developed. For each is convinced that the philosopher’s responsibility is to contribute from his own special intellectual point of view to the progress of such an important field rather than sitting in lofty judgement dismissing the efforts of their scientific peers. The aim of this book is thus to correct some of the common misunderstandings of its subject. The technical term Artificial Intelligence has created considerable unnecessary confusion because of the ordinary meanings associated with it and for that very reason the term is endlessly misused and abused. The essays collected here all aim to expound the true nature of AI and to remove the ill-conceived philosophical discussions which seek answers to the wrong questions in the wrong ways. Philosophical discussions and decisions about the proper use of AI need to be based on a proper understanding of the manner in which AI-scientists achieve their results; in particular in their dependence on the initial planning input of human beings. The collection combines the Anglo-Saxon school of analytical philosophy with scientific and psychological methods of investigation. The distinguished authors in this volume represent a cross-section of philosophers psychologists and computer scientists from all over the world. The result is a fascinating study in the nature and future of AI written in a style which is certain to appeal and inform laymen and specialists alike. Media > Books > Print Books Routledge 9780815351351

Artificial IntelligenceWith an Introduction to Machine Learning Second Edition The first edition of this popular textbook Contemporary Artificial Intelligence provided an accessible and student friendly introduction to AI. This fully revised and expanded update Artificial Intelligence: With an Introduction to Machine Learning Second Edition retains the same accessibility and problem-solving approach while providing new material and methods.The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding.Suitable for undergraduate and beginning graduate students this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics financial decision making speech and text recognition genetic analysis and more. Media > Books > Print Books Chapman & Hall 9780367571641

Communicating Artificial Intelligence (AI)Theory Research and Practice Despite increasing scholarly attention to artificial intelligence (AI) studies at the intersection of AI and communication remain ripe for exploration including investigations of the social political cultural and ethical aspects of machine intelligence interactions among agents and social artifacts. This book tackles these unexplored research areas with special emphasis on conditions components and consequences of cognitive attitudinal affective and behavioural dimensions toward communication and AI. In doing so this book epitomizes communication journalism and media scholarship on AI and its social political cultural and ethical perspectives. Topics vary widely from interactions between humans and robots through news representation of AI and AI-based news credibility to privacy and value toward AI in the public sphere. Contributors from such countries as Brazil Netherland South Korea Spain and United States discuss important issues and challenges in AI and communication studies. The collection of chapters in the book considers implications for not only theoretical and methodological approaches but policymakers and practitioners alike. The chapters in this book were originally published as a special issue of Communication Studies. Media > Books > Print Books Routledge 9780367679958

Cunning MachinesYour Pocket Guide to the World of Artificial Intelligence There are many myths and mistakes which make the topics of artificial intelligence complex and confusing. But the truth is that the foundations of AI are not rocket science. People do not need a PhD to understand how a basic neural network works. In fact one does not even need computer skills to learn this. Cunning Machines: Your Pocket Guide to the World of Artificial Intelligence explains the main concepts: what does AI really mean where do we find it how do scientists try to evaluate it what are its main limitations and what future we can expect with it? It also describes the most popular AI techniques in an easy-to-digest form: Artificial neural networks Genetic algorithms The Monte Carlo method Natural language processing Ontologies and their applications This book is for everyone. Still it may be especially valuable to teachers who wish to enrich their classes with some interesting and popular topics sales managers and business analysts who wish to better understand the IT world and finally politicians and journalists who take part in debates on the latest technologies. Jędrzej Osiński earned a PhD in artificial intelligence has worked on government grants and has published 14 scientific papers to date. He is also the co-author of two books. At the same time he has over ten years of experience working in IT companies of different sizes domains (the web telecoms banking e-learning) organisation structures and locations (Poland Ireland and the UK). He is also involved in various initiatives promoting AI science and modern technologies including blog posts invited talks and TV and radio appearances Media > Books > Print Books Chapman & Hall 9780367898021

Democratization of Artificial Intelligence for the Future of Humanity Artificial intelligence (AI) stands out as a transformational technology of the digital age. Its practical applications are growing very rapidly. One of the chief reasons AI applications are attaining prominence is in its design to learn continuously from real-world use and experience and its capability to improve its performance. It is no wonder that the applications of AI span from complex high-technology equipment manufacturing to personalized exclusive recommendations to end-users. Many deployments of AI software given its continuous learning need require computation platforms that are resource intense and have sustained connectivity and perpetual power through central electrical grid. In order to harvest the benefits of AI revolution to all of humanity traditional AI software development paradigms must be upgraded to function effectively in environments that have resource constraints small form factor computational devices with limited power devices with intermittent or no connectivity and/or powered by non-perpetual source or battery power. The aim this book is to prepare current and future software engineering teams with the skills and tools to fully utilize AI capabilities in resource-constrained devices. The book introduces essential AI concepts from the perspectives of full-scale software development with emphasis on creating niche Blue Ocean small form factored computational environment products. Media > Books > Print Books CRC Press 9780367524128

Distributed Artificial IntelligenceA Modern Approach Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning planning and decision-making problems. When we talk about decision making there may be some meta-heuristic methods where the problem solving may resemble like operation research. But exactly it is not related completely to management research. The text examines representing and using organizational knowledge in DAI systems dynamics of computational ecosystems and communication-free interactions among rational agents. This publication　takes a look at conflict-resolution strategies for nonhierarchical distributed agents constraint-directed negotiation of resource allocations and plans for multiple agents. Topics included plan verification generation and execution negotiation operators representation network management problem and conflict-resolution paradigms. The manuscript elaborates on negotiating task decomposition and allocation using partial global planning and mechanisms for assessing nonlocal impact of local decisions in distributed planning. The book will attract researchers and practitioners who are working in management and computer science and industry persons in need of a beginner to advanced understanding of the basic and advanced concepts. Media > Books > Print Books CRC Press 9780367466657

Economics of the Fourth Industrial RevolutionInternet Artificial Intelligence and Blockchain This book applies cutting-edge economic analysis and social science to unpack the rich complexities and paradoxes of the Fourth Industrial Revolution. The book takes the reader on a bold refreshing and informative tour through its technological drivers its profound impact on human ecosystems and its potential for sustainable human development. The overarching message to the reader is that the Fourth Industrial Revolution is not merely something to be feared or survived; rather this dramatic collision of technologies disciplines and ideas presents a magnificent opportunity for a generation of new pioneers to rewrite "accepted rules" and find new avenues to empower billions of people to thrive. This book will help readers to discern the difference between disruption and transformation. The reader will come away from this book with a deeply intuitive and highly contextual understanding of the core technological advances transforming the world as we know it. Beyond this the reader will clearly appreciate the future impacts on our economies and social structures. Most importantly the reader will receive an insightful and actionable set of guidelines to assist them in harnessing the Fourth Industrial Revolution so that both they and their communities may flourish. The authors do not primarily seek to make prescriptions for government policy but rather to speak directly to people about what they can do for themselves their families and their communities to be future-proofed and ready to adapt to life in a rapidly evolving world ecosystem. Media > Books > Print Books Routledge 9781138366947

Electric Systems Dynamics and Stability with Artificial Intelligence Applications This work seeks to provide a solid foundation to the principles and practices of dynamics and stability assessment of large-scale power systems focusing on the use of interconnected systems - and aiming to meet the requirements of today's competitive and deregulated environments. It contains easy-to-follow examples of fundamental concepts and algorithmic procedures. Media > Books > E-books CRC Press 9781315274522

Industrial and Engineering Applications of Artificial Intelligence and Expert SystemsProceedings of the Tenth International Conference This book presents the Proceedings of the Tenth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems focusing on the theoretical aspects of intelligent systems research as well as extensions of theory of intelligent thinking machines. Media > Books > Print Books CRC Press 9781138472051

Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models The complementary nature of physically-based and data-driven models in their demand for physical insight and historical data leads to the notion that the predictions of a physically-based model can be improved and the associated uncertainty can be systematically reduced through the conjunctive use of a data-driven model of the residuals. The objective of this thesis is to minimise the inevitable mismatch between physically-based models and the actual processes as described by the mismatch between predictions and observations. Principles based on information theory are used to detect the presence and nature of residual information in model errors that might help to develop a data-driven model of the residuals by treating the gap between the process and its (physically-based) model as a separate process. The complementary modelling approach is applied to various hydrodynamic and hydrological models to forecast the expected errors and accuracy using neural Media > Books > Print Books CRC Press 9781138405578

International Dictionary of Artificial Intelligence First Published in 1998. Artificial intelligence is increasingly employed in all areas of human endeavor and industry. Anticipating the needs of professionals researchers and students alike International Dictionary of Artificial Intelligence defines and illustrates over 2 500 terms and provides detailed explanations of major concepts as well as topics in related disciplines. The Dictionary also contains an annotated bibliography and an extensive appendix of World Wide Web sites devoted to the latest trends and developments in the world of artificial intelligence. Media > Books > E-books Routledge 9781315074108

Learning for the Age of Artificial IntelligenceEight Education Competences Learning for the Age of Artificial Intelligence is a richly informed argument for curricular change to educate people towards achievement and success as intelligent machine systems proliferate. Describing eight key competences this comprehensive volume prepares educational leaders designers researchers and policymakers to effectively rethink the knowledge skills and environments that students need to thrive and avoid displacement in today’s technology-enhanced culture and workforce. Essential insights into school operations machine learning complex training and assessment and economic challenges round out this cogent relatable discussion about the imminent evolution of the education sector. Media > Books > Print Books Routledge 9780367024376

Machines Who ThinkA Personal Inquiry into the History and Prospects of Artificial Intelligence This book is a history of artificial intelligence that audacious effort to duplicate in an artifact what we consider to be our most important property—our intelligence. It is an invitation for anybody with an interest in the future of the human race to participate in the inquiry. Media > Books > Print Books A K Peters/CRC Press 9781138440197

Medical Applications of Artificial Intelligence Enhanced more reliable and better understood than in the past artificial intelligence (AI) systems can make providing healthcare more accurate affordable accessible consistent and efficient. However AI technologies have not been as well integrated into medicine as predicted. In order to succeed medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems. After providing a general overview of artificial intelligence concepts tools and techniques Medical Applications of Artificial Intelligence reviews the research focusing on state-of-the-art projects in the field. The book captures the breadth and depth of the medical applications of artificial intelligence exploring new developments and persistent challenges. Media > Books > Print Books CRC Press 9781138072275

Medical ImagingArtificial Intelligence Image Recognition and Machine Learning Techniques Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI) image recognition (IR) and machine learning (ML) algorithms/techniques. Further coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models TB type detection using slice separation approach brain tumor image segmentation via deep learning mammogram mass separation epileptic seizures breast ultrasound images knee joint x-ray images bone fracture detection and labeling and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging. Media > Books > Print Books CRC Press 9780367139612

Mind Machine And MetaphorAn Essay On Artificial Intelligence And Legal Reasoning Mind Machine and Metaphor is a rich original and wide-ranging view of legal theory in the context of artificial intelligence (AI) research. It is essential reading for legal theorists and for legal scholars and students of AI with an interest in each other's fields. Media > Books > Print Books Routledge 9780367158088

Natural Language Processing in Artificial Intelligence This volume focuses on natural language processing artificial intelligence and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications approaches and techniques for computational models of information and how it is presented by language (artificial human or natural) in other ways. It looks at intelligent natural language processing and related models of thought mental states reasoning and other cognitive processes. It explores the difficult problems and challenges related to partiality underspecification and context-dependency which are signature features of information in nature and natural languages. Key features: Addresses the functional frameworks and workflow that are trending in NLP and AI Looks at the latest technologies and the major challenges issues and advances in NLP and AI Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP. Media > Books > Print Books Apple Academic Press 9781771888646

New Technologies Artificial Intelligence and Shipping Law in the 21st Century New Technologies Artificial Intelligence and Shipping Law in the 21st Century consists of edited versions of the papers delivered at the Institute of International Shipping and Trade Law’s 14th International Colloquium at Swansea Law School in September 2018. Written by a combination of top academics and highly experienced legal practitioners these papers have been carefully co-ordinated to give the reader a first-class insight into the issues surrounding new technology and shipping. The book is set out in three parts: Part I offers a detailed and critical analysis of issues that are emerging and those that are likely to emerge from the use of advanced computer technology particularly at the contracting process and in the context of issuing trading documents. Part 2 focusses on artificial intelligence and discusses the contemporary issues that will emerge once autonomous ships and similar crafts are put to use in the world’s oceans. As well as this the legal impact of ports utilising artificial intelligence and computer technology will also be considered. Part 3 analyses how the increasing use of legal technology is changing insurance underwriting and shipping litigation. An invaluable guide to the recent technological advances in shipping this book is vital reading for both professional and academic readers. Media > Books > Print Books Informa Law from Routledge 9780367139179

Novice Programming EnvironmentsExplorations in Human-Computer Interaction and Artificial Intelligence This book originally published in 1992 encapsulates ten years of research at the Open University’s Human Cognition Research Laboratory. The research investigates the problems of novice programmers and is strongly oriented toward the design and implementation of "programming environments" aimed at eliminating or easing novices’ problems. A range of languages is studied: Pascal SOLO Lisp Prolog and "Knowledge Engineering Programming". The primary emphasis of the empirical studies is to gain some understanding of novices’ "mental models" of the inner workings of computers. Such (erroneous) models are constructed by novices in their own heads to account for the idiosyncrasies of particular programming languages. The primary emphasis of the implementations described in the book is the provision of "automatic debugging aids" i.e. artificial intelligence programs which can analyse novices’ buggy programs and make sense of them thereby providing useful advice for the novices. Another related strand taken in some of the work is the concept of "pre-emptive design" i.e. the provision of tools such as syntax-directed editors and graphical tracers which help programmers avoid many frequently-occurring errors. A common thread throughout the book is its Cognitive Science/Artificial Intelligence orientation. AI tools are used for instance to construct simulation models of subjects writing programs in order to provide insights into what their deep conceptual errors are. At the other extreme AI programs which were developed in order to help student debug their programs are observed empirically in order to ensure that they provide facilities actually needed by real programmers. This book will be of great interest to advanced undergraduate postgraduate and professional researchers in Cognitive Science Artificial Intelligence and Human-Computer Interaction. Media > Books > Print Books Routledge 9780815351641

Predictive Policing and Artificial Intelligence This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime places likely to host it and variables associated with its solvability. Facial and vehicle recognition cameras are locating criminals as they move while police services develop strategies informed by machine learning and other kinds of predictive analytics. Many of these innovations are features of modern policing in the UK the US and Australia among other jurisdictions.AI promises to reduce unnecessary labour speed up various forms of police work encourage police forces to more efficiently apportion their resources and enable police officers to prevent crime and protect people from a variety of future harms. However the promises of predictive and AI technologies and innovations do not always match reality. They often have significant weaknesses come at a considerable cost and require challenging trade- off s to be made. Focusing on the UK the US and Australia this book explores themes of choice architecture decision- making human rights accountability and the rule of law as well as future uses of AI and predictive technologies in various policing contexts. The text contributes to ongoing debates on the benefits and biases of predictive algorithms big data sets machine learning systems and broader policing strategies and challenges.Written in a clear and direct style this book will appeal to students and scholars of policing criminology crime science sociology computer science cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing. Media > Books > Print Books Routledge 9780367210984

Readings in Music and Artificial Intelligence First published in 2000. Routledge is an imprint of Taylor & Francis an informa company. Media > Books > E-books Routledge 9780203059746

Regulating Artificial IntelligenceBinary Ethics and the Law Exploring potential scenarios of artificial intelligence regulation which prevent automated reality harming individual human rights or social values this book reviews current debates surrounding AI regulation in the context of the emerging risks and accountabilities. Considering varying regulatory methodologies it focuses mostly on EU’s regulation in light of the comprehensive policy making process taking place at the supranational level. Taking an ethics and humancentric approach towards artificial intelligence as the bedrock of future laws in this field it analyses the relations between fundamental rights impacted by the development of artificial intelligence and ethical standards governing it. It contains a detailed and critical analysis of the EU’s Ethic Guidelines for Trustworthy AI pointing at its practical applicability by the interested parties. Attempting to identify the most transparent and efficient regulatory tools that can assure social trust towards AI technologies the book provides an overview of horizontal and sectoral regulatory approaches as well as legally binding measures stemming from industries’ self-regulations and internal policies. Media > Books > Print Books Routledge 9780367468811

Reinventing Clinical Decision SupportData Analytics Artificial Intelligence and Diagnostic Reasoning This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length with plain clinical English explanations of convolutional neural networks back propagation and digital image analysis. Real-world examples of how these tools are being employed are also discussed including their value in diagnosing diabetic retinopathy melanoma breast cancer cancer metastasis and colorectal cancer as well as in managing severe sepsis. With all the enthusiasm about AI and machine learning it was also necessary to outline some of criticisms obstacles and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it’s forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes heart disease hypertension and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine medication management and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured what technological and cognitive errors are to blame and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias affective bias and anchoring; and potential solutions such as the Human Diagnosis Project. Finally the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next generation AI is transforming patient care. Media > Books > Print Books Taylor & Francis 9780367186234

Rights for RobotsArtificial Intelligence Animal and Environmental Law Bringing a unique perspective to the burgeoning ethical and legal issues surrounding the presence of artificial intelligence in our daily lives the book uses theory and practice on animal rights and the rights of nature to assess the status of robots. Through extensive philosophical and legal analyses the book explores how rights can be applied to nonhuman entities. This task is completed by developing a framework useful for determining the kinds of personhood for which a nonhuman entity might be eligible and a critical environmental ethic that extends moral and legal consideration to nonhumans. The framework and ethic are then applied to two hypothetical situations involving real-world technology—animal-like robot companions and humanoid sex robots. Additionally the book approaches the subject from multiple perspectives providing a comparative study of legal cases on animal rights and the rights of nature from around the world and insights from structured interviews with leading experts in the field of robotics. Ending with a call to rethink the concept of rights in the Anthropocene suggestions for further research are made. An essential read for scholars and students interested in robot animal and environmental law as well as those interested in technology more generally the book is a ground-breaking study of an increasingly relevant topic as robots become ubiquitous in modern society. The Open Access version of this book available at http://www.taylorfrancis.com/books/e/ISBN has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license. Media > Books > Print Books Routledge 9780367211745

Risks of Artificial Intelligence If the intelligence of artificial systems were to surpass that of humans humanity would face significant risks. The time has come to consider these issues and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory.Featuring contributions from leading experts and thinkers in artificial intelligence Risks of Artificial Intelligence is the first volume of collected chapters dedicated to examining the risks of AI. The book evaluates predictions of the future of AI proposes ways to ensure that AI systems will be beneficial to humans and then critically evaluates such proposals.The book covers the latest research on the risks and future impacts of AI. It starts with an introduction to the problem of risk and the future of artificial intelligence followed by a discussion (Armstrong/Sokala/ÓhÉigeartaigh) on how predictions of its future have fared to date.Omohundro makes the point that even an innocuous artificial agent can easily turn into a serious threat for humans. T. Goertzel explains how to succeed in the design of artificial agents. But will these be a threat for humanity or a useful tool? Ways to assure beneficial outcomes through ‘machine ethics’ and ‘utility functions’ are discussed by Brundage and Yampolskiy.B. Goertzel and Potapov/Rodionov propose ‘learning’ and ‘empathy’ as paths towards safer AI while Kornai explains how the impact of AI may be bounded. Sandberg explains the implications of human-like AI via the technique of brain emulation. Dewey discusses strategies to deal with the ‘fast takeoff’ of artificial intelligence and finally Bishop explains why there is no need to worry because computers will remain in a state of ‘artificial stupidity’.Sharing insights from leading thinkers in artificial intelligence this book provides you with an expert-level perspective of what is on the horizon for AI whether it will be a threat for humanity and how we might counteract this threat. Media > Books > Print Books Chapman & Hall 9780367575182

Routledge Library Editions: Artificial Intelligence "Artificial Intelligence" (AI) a term coined in the 1950s actually dates back as far as 1943. Now very much in the public consciousness AI research has fallen in and out of favour over the years. Routledge Library Editions: Artificial Intelligence (10 Volumes) brings together as one set or individual volumes a small interdisciplinary series of previously out-of-print titles originally published between 1970 and 1994. Covering ground in computer science literature philosophy psychology psychotherapy and sociology this set is a fascinating insight into the development of ideas surrounding AI. Media > Books > Print Books Routledge 9780815385660

Scientific Models of Legal ReasoningEconomics Artificial Intelligence and the Physical Sciences First published in 1998. Routledge is an imprint of Taylor & Francis an informa company. Media > Books > E-books Routledge 9780203055021

Tech Giants Artificial Intelligence and the Future of Journalism This book examines the impact of the "Big Five" technology companies – Apple Alphabet/Google Amazon Facebook and Microsoft – on journalism and the media industries. It looks at the current role of algorithms and artificial intelligence in curating how we consume media and their increasing influence on the production of the news. Exploring the changes that the technology industry and automation have made in the past decade to the production distribution and consumption of news globally the book considers what happens to journalism once it is produced and enters the media ecosystems of the internet tech giants – and the impact of social media and AI on such things as fake news in the post-truth age.The audience for this book are students and researchers working in the field of digital media and journalism studies or media studies more generally. It will also be useful to those who are looking for extended case studies of the role taken by tech giants such as Facebook and Google in the fake news scandal or the role of Jeff Bezos in transforming The Washington Post.The Open Access version of this book available at https://doi.org/10.4324/9781351013758 has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license. Media > Books > Print Books Routledge 9780367661090

The Artificial Life Route to Artificial IntelligenceBuilding Embodied Situated Agents Originally published in 1995 this volume is the direct result of a conference in which a number of leading researchers from the fields of artificial intelligence and biology gathered to examine whether there was any ground to assume that a new AI paradigm was forming itself and what the essential ingredients of this new paradigm were. A great deal of scepsis is justified when researchers particularly in the cognitive sciences talk about a new paradigm. Shifts in paradigm mean not only new ideas but also shifts in what constitutes good problems what counts as a result the experimental practice to validate results and the technological tools needed to do research. Due to the complexity of the subject matter paradigms abound in the cognitive sciences -- connectionism being the most prominent newcomer in the mid-1980s. This workshop group was brought together in order to clarify the common ground see what had been achieved so far and examine in which way the research could move further. This volume is a reflection of this important meeting. It contains contributions which were distributed before the workshop but then substantially broadened and revised to reflect the workshop discussions and more recent technical work. Written in polemic form sometimes criticizing the work done thus far within the new paradigm this collection includes research program descriptions technical contributions and position papers. Media > Books > Print Books Routledge 9781138545854

The Question of Artificial IntelligencePhilosophical and Sociological Perspectives Originally published in 1987 when Artificial Intelligence (AI) was one of the most hotly debated subjects of the moment; there was widespread feeling that it was a field whose ‘time had come’ that intelligent machines lay ‘just around the corner’. Moreover with the onset of the revolution in information technology and the proclamation from all corners that we were moving into an ‘information society’ developments in AI and advanced computing were seen in many countries as having both strategic and economic importance. Yet aside from the glare of publicity that tends to surround new scientific ideas or technologies it must be remembered that AI was a relative newcomer among the sciences; that it had often been the subject of bitter controversy; and that though it had been promising to create intelligent machines for some 40 years prior to publication many believe that it had actually displayed very little substantive progress. With this background in mind the aim of this collection of essays was to take a novel look at AI. Rather than following the path of old well-trodden arguments about definitions of intelligence or the status of computer chess programs the objective was to bring new perspectives to the subject in order to present it in a different light. Indeed instead of simply adding to the endless wrangling ‘for’ and ‘against’ AI the source of such divisions is made a topic for analysis in its own right. Drawing on ideas from the philosophy and sociology of scientific knowledge this collection therefore broke new ground. Moreover although a great deal had been written about the social and cultural impact of AI little had been said of the culture of AI scientists themselves – including their discourse and style of thought as well as the choices judgements negotiations and competitive struggles for resources that had shaped the genesis and development of the paradigmatic structure of their discipline at the time. Yet sociologists of science have demonstrated that the analysis of factors such as these is a necessary part of understanding the development of scientific knowledge. Hence it was hoped that this collection would help to redress the imbalance and provide a broader and more interesting picture of AI. Media > Books > Print Books Routledge 9781138585348

Theoretical Issues in Reading ComprehensionPerspectives from Cognitive Psychology Linguistics Artificial Intelligence and Education Research in cognitive psychology linguistics and artificial intelligence – the three disciplines that have the most direct application to an understanding of the mental processes in reading – is presented in this multilevel work originally published in 1980 that attempts to provide a systematic and scientific basis for understanding and building a comprehensive theory of reading comprehension. The major focus is on understanding the processes involved in the comprehension of written text. Underlying most of the contributions is the assumption that skilled reading comprehension requires a coordination of text with context in a way that goes far beyond simply chaining together the meanings of a string of decoded words. The topics discussed are divided into five general areas: Global Issues; Text Structure; Language Knowledge of the World and Inference; Effects of Prior Language Experience; and Comprehension Strategies and Facilitators and represent a broad base of methodology and data that should be of interest not only to those concerned with the reading process but also to basic science researchers in psychology linguistics artificial intelligence and related disciplines. Media > Books > Print Books Routledge 9781138092426

Transforming Management Using Artificial Intelligence Techniques Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach. It offers a detailed well-illustrated treatment of each topic with examples and case studies and brings the exciting field to life by presenting a substantial and robust introduction to AI in a clear and concise manner. It provides a deeper understanding of how the relevant aspects of AI impact each other’s efficacy for better output. It’s a reliable and accessible one-step resource that introduces AI; presents a full examination of applications; provides an understanding of the foundations; examines education powered by AI entertainment home and service robots healthcare re-imagined predictive policing space exploration; and so much more all within the realm of AI. This book will feature: Uncovering new and innovative features of AI and how it can help in raising economic efficiency at both micro- and macro levels Both the literature and practical aspects of AI and its uses This book summarizing key concepts at the end of each chapter to assist reader comprehension Case studies of tried and tested approaches to resolutions of typical problems Ideal for both teaching and general-knowledge purposes. This book will also simply provide the topic of AI for the readers aspiring researchers and practitioners involved in management and computer science so they can obtain a high-level of understanding of AI and managerial applications. Media > Books > Print Books CRC Press 9780367456375

Understanding Artificial Intelligence Artificial Intelligence (AI) fascinates challenges and disturbs us. There are many voices in society that predict drastic changes that may come as a consequence of AI – a possible apocalypse or Eden on earth. However only a few people truly understand what AI is what it can do and what its limitations are. Understanding Artificial Intelligence explains through a straightforward narrative and amusing illustrations how AI works. It is written for a non-specialist reader adult or adolescent who is interested in AI but is missing the key to understanding how it works. The author demystifies the creation of the so-called "intelligent" machine and explains the different methods that are used in AI. It presents new possibilities offered by algorithms and the difficulties that researchers engineers and users face when building and using such algorithms. Each chapter allows the reader to discover a new aspect of AI and to become fully aware of the possibilities offered by this rich field. Media > Books > Print Books Chapman & Hall 9780367524357

Virtual Reality Augmented Reality and Artificial Intelligence in Special EducationA Practical Guide to Supporting Students with Learning Differences New technologies and ongoing developments in the fields of Virtual reality augmented reality and artificial intelligence are changing the ways in which we facilitate learning. Recognising the positive role these technologies can play in the learning and progress of students assessed as having special educational needs this practical guide explains the characteristics benefits risks and potential applications of new technologies in the classroom. An innovative and timely resource Virtual Reality Augmented Reality and Artificial Intelligence in Special Education offers a background in the evidence-based theory and practice of using new technologies in an educational context. Accessible and free of complex jargon chapters provide information on the development intended uses and most current terminology used in relation to technologies and explains how modern equipment approaches and possibilities can be used to promote improved communication skills independent learning and heightened self-esteem amongst students diagnosed with SEND. Offering a wealth of practical tips downloadable resources and ideas for engaging with technology in the classroom the text will support teachers to ensure that students can benefit from exciting technological advances and learn to use them appropriately. Demystifying a complex and varied field this practical resource will inspire and inform teachers SENCOs and practitioners working with children and students with SEND as they harness the use of technology in the classroom. Media > Books > Print Books Routledge 9780367024536