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Keith Frankish - The Cambridge Handbook of Artificial Intelligence

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Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. AI applications are transforming the way we interact with each other and with our environment, and work in artificially modeling intelligence is offering new insights into the human mind and revealing new forms mentality can take. This volume of original essays presents the state of the art in AI, surveying the foundations of the discipline, major theories of mental architecture, the principal areas of research, and extensions of AI such as artificial life. With a focus on theory rather than technical and applied issues, the volume will be valuable not only to people working in AI, but also to those in other disciplines wanting an authoritative and up-to-date introduction to the field.

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The Cambridge Handbook of
Artificial Intelligence

Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. AI applications are transforming the way we interact with each other and with our environment, and work in artificially modeling intelligence is offering new insights into the human mind and revealing new forms mentality can take. This volume of original essays presents the state of the art in AI, surveying the foundations of the discipline, major theories of mental architecture, the principal areas of research, and extensions of AI such as artificial life. With a focus on theory rather than technical and applied issues, the volume will be valuable not only to people working in AI, but also to those in other disciplines wanting an authoritative and up-to-date introduction to the field.

KEITH FRANKISH is Visiting Senior Research Fellow at The Open University UK and Adjunct Professor with the Brain and Mind Program in Neurosciences at the University of Crete. He is the author of Mind and Supermind (Cambridge, 2004) and Consciousness (2005). He is co-editor of In Two Minds: Dual Processes and Beyond (with Jonathan St B. T. Evans, 2009), New Waves in Philosophy of Action (with Jess H. Aguilar and Andrei A. Buckareff, 2010), and The Cambridge Handbook of Cognitive Science (with William M. Ramsey, Cambridge, 2012).

WILLIAM M. RAMSEY is Associate Professor of Philosophy at the University of Nevada, Las Vegas. He is the author of Representation Reconsidered (Cambridge, 2007) and co-editor of Philosophy and Connectionist Theory (with David Rumelhart and Stephen Stich, 1991), Rethinking Intuition (with Michael DePaul, 1998), and The Cambridge Handbook of Cognitive Science (with Keith Frankish, Cambridge, 2012).

The Cambridge Handbook of
Artificial Intelligence
Edited by
Keith Frankish
William M. Ramsey
University Printing House Cambridge CB2 8BS United Kingdom Cambridge - photo 1
University Printing House Cambridge CB2 8BS United Kingdom Cambridge - photo 2
University Printing House, Cambridge CB2 8BS, United Kingdom
Cambridge University Press is part of the University of Cambridge.
It furthers the Universitys mission by disseminating knowledge in the pursuit of education, learning and research at the highest international levels of excellence.
www.cambridge.org
Information on this title: www.cambridge.org/9780521691918
Cambridge University Press 2014
This publication is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University Press.
First published 2014
Printed in the United Kingdom by Clays, St Ives plc
A catalogue record for this publication is available from the British Library
Library of Congress Cataloguing in Publication data
The Cambridge handbook of artificial intelligence / edited by Keith Frankish and
William M. Ramsey.
pages cm
Includes bibliographical references and index.
ISBN 978-0-521-87142-6 (hardback) ISBN 978-0-521-69191-8 (paperback)
1. Artificial intelligence Philosophy. I. Frankish, Keith.
II. Ramsey, William M., 1960 editor of compilation. III.
Title: Handbook of artificial intelligence.
Q335.C26 2014
006.3 dc23 2013048906
ISBN 978-0-521-87142-6 Hardback
ISBN 978-0-521-69191-8 Paperback
Cambridge University Press has no responsibility for the persistence or accuracy of URLs for external or third-party internet websites referred to in this publication, and does not guarantee that any content on such websites is, or will remain, accurate or appropriate.
Contents
Keith Frankish and William M. Ramsey
Stan Franklin
Konstantine Arkoudas and Selmer Bringsjord
William S. Robinson
Margaret A. Boden
Ron Sun
Randall D. Beer
David Danks
Markus Vincze, Sven Wachsmuth, and Gerhard Sagerer
Eyal Amir
Yorick Wilks
Eduardo Alonso
Matthias Scheutz
Phil Husbands
Mark A. Bedau
Nick Bostrom and Eliezer Yudkowsky
Figures
Notes on contributors
Eduardo Alonso is Reader in Computing at the Department of Computer Science, City University London. He has published his research in journals such as Knowledge Engineering Review and Artificial Intelligence Review , and in various Springer Lecture Notes in Artifical Intelligence (LNAI) and Lecture Notes in Computer Science (LNCS) volumes, and he has edited a special issue of International Journal of Autonomous Agents and Multi-Agent Systems on Multi-Agent Learning.
Eyal Amir is Associate Professor of Computer Science at the University of Illinois at Urbana-Champaign (UIUC). His research focuses on AI, specifically reasoning, learning, and decision making with logical and probabilistic knowledge. In 2006 Eyal was chosen by the Institute of Electrical and Electronics Engineers (IEEE) as one of the 10 to watch in AI.
Konstantine Arkoudas is an AI research scientist at Applied Communication Sciences, with a focus on reasoning and knowledge engineering. He has published many articles in AI and computer science, as well as in philosophy, on topics ranging from philosophy of mind and cognitive science to epistemology and philosophy of mathematics.
Mark A. Bedau is Professor of Philosophy and Humanities at Reed College, and Editor-in-Chief of the journal Artificial Life . He has co-authored or co-edited Emergence (2008), Protocells: Bridging Non living and Living Matter (2009), The Ethics of Protocells: Moral and Social Implications of Creating Life in the Laboratory (2009), and The Nature of Life (Cambridge, 2010).
Randall D. Beer is a Professor of Informatics and Computing in the Cognitive Science program at Indiana University. He is the author of Intelligence as Adaptive Behavior (1990) and the editor of Biological Neural Networks in Invertebrate Neuroethology and Robotics (1993), as well as numerous articles.
Margaret A. Boden is Research Professor of Cognitive Science at the University of Sussex. She is the author of The Creative Mind (2004), Mind as Machine: A History of Cognitive Science (2006), Creativity and Art (2011), and several other books plus many journal articles.
Nick Bostrom is Professor in the Faculty of Philosophy at Oxford University and Director of the Future of Humanity Institute within the Oxford Martin School. He is the author of some 200 publications, including Anthropic Bias (2002), Global Catastrophic Risks (ed., 2008), and Human Enhancement (ed., 2009).
Selmer Bringsjord is Professor of Cognitive Science and Professor of Computer Science at Rensselaer Polytechnic Institute. He has written numerous books, including Superminds: People Harness Hypercomputation and More (with M. Zenzen, 2003) and over 150 refereed papers.
David Danks is Associate Professor of Philosophy and Psychology at Carnegie Mellon University. He has developed multiple novel machine learning algorithms and has written numerous articles and book chapters on the intersection between machine learning and cognitive science. He is also the author of Unifying the Mind: Cognitive Representations as Graphical Models (2014).
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