Essentials of artificial intelligence
Author(s)
Bibliographic Information
Essentials of artificial intelligence
Morgan Kaufmann Publishers, c1993
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Note
Includes bibliography and indexes
Description and Table of Contents
Description
Since its publication, Essentials of Artificial Intelligence has beenadopted at numerous universities and colleges offering introductory AIcourses at the graduate and undergraduate levels. Based on the author'scourse at Stanford University, the book is an integrated, cohesiveintroduction to the field. The author has a fresh, entertaining writingstyle that combines clear presentations with humor and AI anecdotes. At thesame time, as an active AI researcher, he presents the materialauthoritatively and with insight that reflects a contemporary, first handunderstanding of the field. Pedagogically designed, this book offers arange of exercises and examples.
Table of Contents
1 Introduction: What is AI? 2 Overview 3 Blind Search 4 Heuristic Search 5 Adversary Search 6 Introduction to Knowledge Representation 7 Predicate Logic 8 First-Order Logic 9 Putting Logic to Work: Control of Reasoning 10 Assumption-Based Truth Maintenance 11 Nonmonotonic Reasoning 12 Probability 13 Putting Knowledge to Work: Frames and Semantic Nets 14 Planning 15 Learning 16 Vision 17 Nature Language 18 Expert Systems 19 Concluding Remarks
by "Nielsen BookData"