The Cambridge Handbook of Artificial Intelligence

edited by Keith Frankish and William Ramsey

Publisher: Cambridge University Press
Format: Hardback, paperback
ISBN: HB 978-0521871426  PB 978-0521691918
Publication date: IN PREPARATION Expected 2013

This volume of original essays describes the state of the art in the field of artificial intelligence and highlights the theoretical and philosophical applications of current research. With a focus on theory rather than technical and applied issues, the volume will be of interest both to artificial intelligence researchers and to philosophers of artificial intelligence. Each chapter is a specially commissioned survey article from a leading writer in the area — either a philosopher of artificial intelligence or a scientist with strong theoretical interests. There is coverage of the foundations of the discipline, the various facets of artificial intelligence, cognitive architectures, philosophical implications and related programmes. The approach is thematic rather than historical, and the chapters are primarily survey pieces, though critical assessment is also included, where appropriate.

The volume will be suitable for upper-level undergraduates, graduate students, and scholars, with a particular emphasis on the second group. No extensive background knowledge is assumed, either in philosophy or in the primary subject areas themselves.

A companion Handbook of Cognitive Science (2012) has been prepared by the same editors, and the two volumes have been conceived as a pair.

Table of contents

List of tables and figures
Notes on contributors
Introduction, Keith Frankish and William M. Ramsey
Part I: Foundations
1. History, motivations, and core themes, Stan Franklin
2. Philosophical foundations, Konstantine Arkoudas and Selmer Bringsjord
3. Philosophical challenges, William S. Robinson
Part II: Architectures
4. GOFAI, Margaret A. Boden
5. Connectionism and neural networks, Ron Sun
6. Dynamical systems and embedded cognition, Randall D. Beer
Part III: Dimensions
7. Learning, David Danks
8. Perception and computer vision, Markus Vincze, Sven Wachsmuth, and Gerhard Sagerer
9. Reasoning and decision making, Eyal Amir
10. Language and communication, Yorick Wilks
11. Actions and agents, Eduardo Alonso
12. Artificial emotions and machine consciousness, Matthias Scheutz
Part IV: Extensions
13. Robotics, Phil Husbands
14. Artificial life, Mark A. Bedau
15. The ethics of artificial intelligence, Nick Bostrom and Eliezer Yudkowsky