edited by Keith Frankish and William M. Ramsey
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.
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.
• Accessible and student-friendly, focusing on key topics and avoiding technical jargon
• Includes supporting material, such as annotated chapter-specific further reading sections and an extensive glossary
• Provides concise, authoritative, and up-to-date coverage of a rapidly developing and expanding field
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
The publishers have made available some online extracts from the book, including the Introduction, Chapter 1, and the index.