Computation and Intelligence: Collected Readings - Softcover

Softcover

ISBN 10: 0262621010 ISBN 13: 9780262621014

Publisher: MIT Press, 1995

Synopsis

Computation and Intelligence brings together 29 readings in Artificial Intelligence that are particularly relevant to today's student/practitioner. With its helpful critique of the selections, extensive bibliography, and clear presentation of the material, Computation and Intelligence will be a useful adjunct to any course in AI as well as a handy reference for professionals in the field. The book is divided into five parts, each reflecting the stages of development of AI. The first part, Foundations, contains readings that present or discuss foundational ideas linking computation and intelligence, typified by A. M. Turing's Computing Machinery and Intelligence. The second part, Knowledge Representation, presents a sampling of numerous representational schemes by Newell, Minsky, Collins & Quillian, Winograd, Schank, Hayes, Holland, McClelland, Rumelhart, Hinton, and Brooks. The third part, Weak Method Problem Solving, fouses on the research and design of syntax-based problem solvers, including the most famous of these, the Logic Theorist and GPS. The fourth part, Reasoning in Complex and Dynamic Environments, presents a broad spectrum of the AI community's research in knowledge-intensive problem solving, from McCarthy's early design of systems with common sense to model-based reasoning. The two concluding selections, by Marvin Minsky and by Herbert Simon, respectively, present the recent thoughts of two of AI's pioneers who revisit the concepts and controversies that have developed during the evolution of the tools and techniques that make up the current practice of Artificial Intelligence.

About this title

About the Author

George F. Luger is Professor of Computer Science at the University of New Mexico.

From the Back Cover

This comprehensive collection of twenty-nine readings covers artificial intelligence from its historical roots to current research directions and practice. With its helpful critique of the selections, extensive bibliography, and clear presentation of the material, Computation and Intelligence will be a useful adjunct to any course in AI as well as a handy reference for professionals in the field. The book is divided into five parts. The first part contains papers that present or discuss foundational ideas linking computation and intelligence, typified by A. M. Turing's "Computing Machinery and Intelligence". The second part, Knowledge Representation, presents a sampling of the numerous representational schemes - by Newell, Minsky, Collins and Quillian, Winograd, Schank, Hayes, Holland, McClelland, Rumelhart, Hinton, and Brooks. The third part, Weak Method Problem Solving, focuses on the research and design of syntax based problem solvers, including the most famous of these, the Logic Theorist and GPS. The fourth part, Reasoning in Complex and Dynamic Environments, presents a broad spectrum of the AI communities' research in knowledge-intensive problem solving, from McCarthy's early design of systems with "common sense" to model based reasoning. The two concluding selections, by Marvin Minsky and by Herbert Simon, respectively, present the recent thoughts of two of AI's pioneers who revisit the concepts and controversies that have developed during the evolution of the tools and techniques that make up the current practice of artificial intelligence.

Edition details

• Publisher: MIT Press
• Publication date: 1995
• Language: English
• ISBN 10: 0262621010
• ISBN 13: 9780262621014
• Binding: Paperback
• Number of pages: 752
• Editor: Luger George F