Artificial Intelligence

A. Clark, Philosophical Foundations. R. Inder, Planning and Problem Solving. D. Partridge, Representation of Knowledge. S. Russell, Machine Learning. H. Barrow, Connectionism and Neural Networks. J. Fox, Expert Systems and Theories of Knowledge. D.C. Hogg, Machine Vision. M. Steedman, Natural Language Processing. M.A. Boden, Creativity. M. Sharples, Human-Computer Interaction. J.-A. Meyer, Artificial Life and the Animate Approach to Artificial Intelligence. Chapter References. Index.

Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do. This volume discusses the ways in which computational ideas and computer modeling can aid our understanding of human and animal minds. Major theoretical approaches are outlined, as well as some promising recent developments. Fundamental philosophical questions are discussed along with topics such as: the differences between symbolic and connectionist AI, planning and problem solving, knowledge representation, learning, expert systems, vision, natural language, creativity, and human-computer interaction. This volume is suitable for any psychologist, philosopher, or computer scientist wanting to know the current state of the art in this area of cognitive science.

• Up-to-date account of how computational ideas and techniques are relevant to psychology
• Includes discussions of "classical" (symbolic) AI, of connectionism (neural nets), of evolutionary programming, and of A-Life
• Discusses a wide range of psychology from low-level vision to creativity

Advanced students, academics, and researchers in cognition, education, perception, artificial intelligence, computer science, and decision making.