Author: Jack Copeland
Publisher: John Wiley & Sons
Release Date: 2015-07-29
Presupposing no familiarity with the technical concepts of either philosophy or computing, this clear introduction reviews the progress made in AI since the inception of the field in 1956. Copeland goes on to analyze what those working in AI must achieve before they can claim to have built a thinking machine and appraises their prospects of succeeding. There are clear introductions to connectionism and to the language of thought hypothesis which weave together material from philosophy, artificial intelligence and neuroscience. John Searle's attacks on AI and cognitive science are countered and close attention is given to foundational issues, including the nature of computation, Turing Machines, the Church-Turing Thesis and the difference between classical symbol processing and parallel distributed processing. The book also explores the possibility of machines having free will and consciousness and concludes with a discussion of in what sense the human brain may be a computer.
Author: Margaret A. Boden
Publisher: Oxford University Press on Demand
Release Date: 1990
Is `artificial intelligence' a contradiction in terms? Could computers (in principle) model every aspect of the mind, including logic, language, and emotion? What of the more brain-like, connectionist computers: could they really understand, even if digital computers cannot? This collection of classic and contemporary readings (which includes an editor's introduction and an up-to-date reading list) provides a clearly signposted pathway into hotly disputed philosophical issues at the heart of artificial intelligence.
Author: Matt Carter
Publisher: Edinburgh University Press
Release Date: 2007-02-13
Could a computer have a mind? What kind of machine would this be? Exactly what do we mean by 'mind' anyway?The notion of the 'intelligent' machine, whilst continuing to feature in numerous entertaining and frightening fictions, has also been the focus of a serious and dedicated research tradition. Reflecting on these fictions, and on the research tradition that pursues 'Artificial Intelligence', raises a number of vexing philosophical issues. Minds and Computers introduces readers to these issues by offering an engaging, coherent, and highly approachable interdisciplinary introduction to the Philosophy of Artificial Intelligence.Readers are presented with introductory material from each of the disciplines which constitute Cognitive Science: Philosophy, Neuroscience, Psychology, Computer Science, and Linguistics. Throughout, readers are encouraged to consider the implications of this disparate and wide-ranging material for the possibility of developing machines with minds. And they can expect to de
Walmsley offers a succinct introduction to major philosophical issues in artificial intelligence for advanced students of philosophy of mind, cognitive science and psychology. Whilst covering essential topics, it also provides the student with the chance to engage with cutting edge debates.
In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers. The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader.
Can machines really think? Is the mind just a complicated computer program? This book focuses on the major issues behind one of the hardest scientific problems ever undertaken, from Alan Turing's influential groundwork to cutting-edge robotics and the new AI.
This book deals with the major philosophical issues in the theoretical framework of Artificial Intelligence (AI) in particular and cognitive science in general. The researchers in AI are concerned with the issues of consciousness, human subjectivity, creativity, etc. Cognitive Science and AI argue that consciousness can be artificially created and comprehended in the function of robots. The robotic activities explain the mechanism involved in computation, language processing, sensing the information, etc. Contrary to this thesis, the philosophical study tries to show that human consciousness, thinking, imagination, etc. are much larger concepts and need to be delved into in the broad theoretical framework. This book is a critique of the mechanistic theory of mind. It shows the basic foundation of AI and its limitations in explaining the activities of the human mental life. Machine-functionalism fails to account for the subjective nature of consciousness and the creativity involved in the conscious acts. There are two aspects of this thesis-- the epistemological and the metaphysical. Epistemologically, the subject of consciousness intimately knows the raw feelings or the qualia. Metaphysically speaking, however, the raw feelings are real in the sense that they are part of the furniture of the mental world. Therefore, we can hardly deny that the mental world is real.
Author: Vincent C. Müller
Publisher: Springer Science & Business Media
Release Date: 2012-08-23
Genre: Technology & Engineering
Can we make machines that think and act like humans or other natural intelligent agents? The answer to this question depends on how we see ourselves and how we see the machines in question. Classical AI and cognitive science had claimed that cognition is computation, and can thus be reproduced on other computing machines, possibly surpassing the abilities of human intelligence. This consensus has now come under threat and the agenda for the philosophy and theory of AI must be set anew, re-defining the relation between AI and Cognitive Science. We can re-claim the original vision of general AI from the technical AI disciplines; we can reject classical cognitive science and replace it with a new theory (e.g. embodied); or we can try to find new ways to approach AI, for example from neuroscience or from systems theory. To do this, we must go back to the basic questions on computing, cognition and ethics for AI. The 30 papers in this volume provide cutting-edge work from leading researchers that define where we stand and where we should go from here.
This is the first major textbook to offer a truly comprehensive review of cognitive science in its fullest sense. Ranging from artificial intelligence models of neural processes and cognitive psychology to recent discursive and cultural theories, Rom Harré offers an original yet accessible integration of the field. At its core, this textbook addresses the question 'How can psychology become a science?'. The answer is based on a clear account of method and explanation in the natural sciences and how they can be adapted to psychological research. Rom Harré has used his experience of both the natural and the human sciences to create a text on which exciting and insightful courses can be built in many ways. The text is based on the idea that underlying the long history of attempts to create a scientific psychology there are many unexamined presuppositions that must be brought to light. Whether describing language, categorization, memory, the brain or connectionism the book always links our intuitions about how we think, feel and act in the contexts of everyday life to the latest accounts of the neural tools with which we accomplish the cognitive tasks demanded of us. Computational and biological models are used to link the discursive analysis of everyday cognition to the necessary activities of the brain and nervous system. Fluently written and well structured, this is an ideal text for students who want to gain a comprehensive view of the current state of the art with its seeming divergence into studies of meanings and studies of neurology. The book is divided into four basic modules, with suggestions for three lectures in each. The plan is related to the overall pattern of the semester programme. The reader is guided with helpful learning points, sections of study questions for review, and key readings for each chapter. Cognitive Science: A Philosophical Introduction, with its remarkable sweep of themes, past and present, truly introduces 'the science of the mind' for a new generation of psychology students. Cognitive Science should be indispensable reading for students at all levels taking courses in cognitive science and cognitive psychology, and useful additional course reading in other areas such as social psychology, artificial intelligence, philosophy of the mind and linguistics. Key Points · First major textbook to provide a link between computational, philosophical and biological models in an accessible format for students. Presents a new vision of psychology as a scientific discipline. · Breadth of coverage - ranging from artificial intelligence, to key themes & theories in cognitive science (past and present) - language, memory, the brain and behaviour - to recent discursive and cultural theories. · Plenty of student features to help the student and tutor including helpful learning points, study and essay questions and key readings at the end of every chapter.
Author: Jerry Kaplan
Publisher: Oxford University Press
Release Date: 2016-09-01
Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly. It is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans. Whether we regard them as conscious or unwitting, revere them as a new form of life or dismiss them as mere clever appliances, is beside the point. They are likely to play an increasingly critical and intimate role in many aspects of our lives. The emergence of systems capable of independent reasoning and action raises serious questions about just whose interests they are permitted to serve, and what limits our society should place on their creation and use. Deep ethical questions that have bedeviled philosophers for ages will suddenly arrive on the steps of our courthouses. Can a machine be held accountable for its actions? Should intelligent systems enjoy independent rights and responsibilities, or are they simple property? Who should be held responsible when a self-driving car kills a pedestrian? Can your personal robot hold your place in line, or be compelled to testify against you? If it turns out to be possible to upload your mind into a machine, is that still you? The answers may surprise you.
'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.
How can the human mind represent the external world? What is thought, and can it be studied scientifically? Should we think of the mind as a kind of machine? Is the mind a computer? Can a computer think? Tim Crane sets out to answer these questions and more in a lively and straightforward way, presuming no prior knowledge of philosophy or related disciplines. Since its first publication, The Mechanical Mind has introduced thousands of people to some of the most important ideas in contemporary philosophy of mind. Crane explains the fundamental ideas that cut across philosophy of mind, artificial intelligence and cognitive science: what the mind–body problem is; what a computer is and how it works; what thoughts are and how computers and minds might have them. He examines different theories of the mind from dualist to eliminativist, and questions whether there can be thought without language and whether the mind is subject to the same causal laws as natural phenomena. The result is a fascinating exploration of the theories and arguments surrounding the notions of thought and representation. This third edition has been fully revised and updated, and includes a wholly new chapter on externalism about mental content and the extended and embodied mind. There is a stronger emphasis on the environmental and bodily context in which thought occurs. Many chapters have been reorganised to make the reader’s passage through the book easier. The book now contains a much more detailed guide to further reading, and the chronology and the glossary of technical terms have also been updated. The Mechanical Mind is accessible to anyone interested in the mechanisms of our minds, and essential reading for those studying philosophy of mind, philosophy of psychology, or cognitive psychology.
Author: Alan Mathison Turing
Publisher: Oxford University Press
Release Date: 2004-09-09
Lectures, scientific papers, top secret wartime material, correspondence, and broadcasts are introduced and set in context by Jack Copeland, Director of the Turing Archive for the History of Computing."--Jacket.
Author: Margaret A. Boden
Publisher: Oxford University Press
Release Date: 2016-05-19
The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and - not least - on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language from a fresh angle. As a concept, Artificial Intelligence has fuelled and sharpened the philosophical debates concerning the nature of the mind, intelligence, and the uniqueness of human beings. Margaret A. Boden reviews the philosophical and technological challenges raised by Artificial Intelligence, considering whether programs could ever be really intelligent, creative or even conscious, and shows how the pursuit of Artificial Intelligence has helped us to appreciate how human and animal minds are possible.