
Essentials of artificial intelligence
Title:
Essentials of artificial intelligence
Author:
Ginsberg, Matthew L., 1955-
Personal Author:
Publication Information:
San Mateo, Calif. : Morgan Kaufmann Publishers, ©1993.
Physical Description:
1 online resource (xiii, 430 pages) : illustrations
Contents:
99.
Introduction: What Is AI? -- Overview -- Blind Search -- Heiristic Search -- Adversary Search-- Introduction to Knowledge Representation -- Predicate Logic -- First-Order Logic -- Putting Logic to Work: Control of Reasoning -- Assumption-Based Truth Maintenance -- Nonmonotonic Reasoning -- Probability -- Putting Knowledge to Work: Frames and Semantic Nets -- Planning Learning -- Vision -- Natural Language -- Expert Systems -- Concluding Remarks.
Abstract:
Since its publication, Essentials of Artificial Intelligence has been adopted at numerous universities and colleges offering introductory AI courses at the graduate and undergraduate levels. Based on the author's course at Stanford University, the book is an integrated, cohesive introduction to the field. The author has a fresh, entertaining writing style that combines clear presentations with humor and AI anecdotes. At the same time, as an active AI researcher, he presents the material authoritatively and with insight that reflects a contemporary, first hand understanding of the field. Pedagogically designed, this book offers a range of exercises and examples.
Genre:
Electronic Access:
ScienceDirect http://www.sciencedirect.com/science/book/9781558602212Available:*
Shelf Number | Item Barcode | Shelf Location | Status |
|---|---|---|---|
| Q335 .G55 1993 | 1178303-1001 | Elsevier E-Book Collections | Searching... |
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