Artificial Intelligence Logical Foundations History Math Exercises Genesereth 87

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Item specifics

Condition
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See all condition definitionsopens in a new window or tab
Seller Notes
“Unmarked; Edgeworn dust jacket”
Country/Region of Manufacture
United States
Topic
Artificial Intelligence
Features
Dust Jacket
ISBN
9780934613316
Category

About this product

Product Identifiers

Publisher
Elsevier Science & Technology Books
ISBN-10
0934613311
ISBN-13
9780934613316
eBay Product ID (ePID)
610929

Product Key Features

Number of Pages
406 Pages
Publication Name
Logical Foundations of Artificial Intelligence
Language
English
Publication Year
1987
Subject
Expert Systems, Intelligence (Ai) & Semantics, Logic Design
Type
Textbook
Subject Area
Computers
Author
Nils J. Nilsson, Michael R. Genesereth
Format
Hardcover

Dimensions

Item Height
1 in
Item Weight
35 Oz
Item Length
9.3 in
Item Width
7.3 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
87-005461
Illustrated
Yes
Table Of Content
1 Introduction 2 Declarative Knowledge 3 Inference 4 Resolution 5 Resolution Strategies 6 Nonmonotonic Reasoning 7 Induction 8 Reasoning with Uncertain Beliefs 9 Knowledge and Belief 10 Metaknowledge and Metareasoning 11 State and Change 12 Planning 13 Intelligent-Agent Architecture Answers to Exercises
Synopsis
Logical Foundations of Artificial Intelligence is an account of the fundamentals of artificial intelligence from the standpoint of logic., Intended both as a text for advanced undergraduates and graduate students, and as a key reference work for AI researchers and developers, Logical Foundations of Artificial Intelligence is a lucid, rigorous, and comprehensive account of the fundamentals of artificial intelligence from the standpoint of logic. The first section of the book introduces the logicist approach to AI--discussing the representation of declarative knowledge and featuring an introduction to the process of conceptualization, the syntax and semantics of predicate calculus, and the basics of other declarative representations such as frames and semantic nets. This section also provides a simple but powerful inference procedure, resolution, and shows how it can be used in a reasoning system. The next several chapters discuss nonmonotonic reasoning, induction, and reasoning under uncertainty, broadening the logical approach to deal with the inadequacies of strict logical deduction. The third section introduces modal operators that facilitate representing and reasoning about knowledge. This section also develops the process of writing predicate calculus sentences to the metalevel--to permit sentences about sentences and about reasoning processes. The final three chapters discuss the representation of knowledge about states and actions, planning, and intelligent system architecture. End-of-chapter bibliographic and historical comments provide background and point to other works of interest and research. Each chapter also contains numerous student exercises (with solutions provided in an appendix) to reinforce concepts and challenge the learner. A bibliography and index complete this comprehensive work.
LC Classification Number
Q335.G37 1987

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