Artificial Intelligence
Artificial Intelligence

Author: Jack Copeland

Publisher: John Wiley & Sons

Published: 1993-12-08

Total Pages: 338

ISBN-13: 063118385X

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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.

Cognitive Science
Cognitive Science

Author: Rom Harre

Publisher: SAGE

Published: 2002-02-15

Total Pages: 340

ISBN-13: 9780761947479

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Cognitive Science, with its remarkable sweep of key themes, past and present, truly introduces 'the science of the mind' for a new generation of psychology students. This is the first major textbook to offer a truly comprehensive review of cognitive science in its fullest sense. Ranging across artificial intelligence models and cognitive psychology through to recent discursive and cultural theories Rom Harre offers a breathtakingly original, yet accessible integration of the field. At its core this textbook addresses the question 'is psychology a science?' with a clear account of scientific method and explanation and their bearing on psychological research. A pivotal figure in psychology and philosophy for many decades Rom Harre has turned his unmatched breadth of reference and insight for students at all levels. Whether describing * language * categorization * memory * the brain * or connectionism The book always links our intuitions about beliefs, desires and their social context to the latest accounts of their place in computational and biological models. Fluently written and well structured, this an ideal text for students. The book is divided into four basic modules, with thre

Minds and Computers
Minds and Computers

Author: Matt Carter

Publisher: Edinburgh University Press

Published: 2007-02-14

Total Pages: 240

ISBN-13: 0748629300

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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

The Mechanical Mind
The Mechanical Mind

Author: Tim Crane

Publisher: Presbyterian Publishing Corp

Published: 2003-04-24

Total Pages: 272

ISBN-13: 0203426312

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A fascinating exploration of the theories and arguments surrounding the notions of thought and representation. Now in its 2nd edition, Cranes's classic text has introduced thousands to some of the most important ideas in philosophy of mind.

Making AI Intelligible
Making AI Intelligible

Author: Herman Cappelen

Publisher: Oxford University Press

Published: 2021

Total Pages: 184

ISBN-13: 0192894722

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Can humans and artificial intelligences share concepts and communicate? One aim of Making AI Intelligible is to show that philosophical work on the metaphysics of meaning can help answer these questions. Cappelen and Dever use the externalist tradition in philosophy of to create models of how AIs and humans can understand each other. In doing so, they also show ways in which that philosophical tradition can be improved: our linguistic encounters with AIs revel that our theories of meaning have been excessively anthropocentric. The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications. Many important decisions about human life are now influenced by AI. In giving that power to AI, we presuppose that AIs can track features of the world that we care about (e.g. creditworthiness, recidivism, cancer, and combatants.) If AIs can share our concepts, that will go some way towards justifying this reliance on AI. The book can be read as a proposal for how to take some first steps towards achieving interpretable AI. Making AI Intelligible is of interest to both philosophers of language and anyone who follows current events or interacts with AI systems. It illustrates how philosophy can help us understand and improve our interactions with AI.

Knowledge and Mind
Knowledge and Mind

Author: Andrew Brook

Publisher: MIT Press

Published: 2001-07-27

Total Pages: 276

ISBN-13: 9780262261647

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This is the only contemporary text to cover both epistemology and philosophy of mind at an introductory level. It also serves as a general introduction to philosophy: it discusses the nature and methods of philosophy as well as basic logical tools of the trade. The book is divided into three parts. The first focuses on knowledge, in particular, skepticism and knowledge of the external world, and knowledge of language. The second focuses on mind, including the metaphysics of mind and freedom of will. The third brings together knowledge and mind, discussing knowledge of mind (other minds and our own) and naturalism and how epistemology and philosophy of mind come together in contemporary cognitive science. Throughout, the authors take into account the needs of the beginning philosophy student. They have made very effort to ensure accessibility while preserving accuracy.

The Philosophy of Artificial Intelligence
The Philosophy of Artificial Intelligence

Author: Margaret A. Boden

Publisher: Oxford University Press on Demand

Published: 1990

Total Pages: 452

ISBN-13: 9780198248545

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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.

Mind and Machine
Mind and Machine

Author: J. Walmsley

Publisher: Springer

Published: 2016-04-30

Total Pages: 233

ISBN-13: 1137283424

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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.

Philosophy and Theory of Artificial Intelligence
Philosophy and Theory of Artificial Intelligence

Author: Vincent C. Müller

Publisher: Springer Science & Business Media

Published: 2012-08-23

Total Pages: 413

ISBN-13: 3642316743

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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.