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Intelligent Planning (Artificial Intelligence)

Intelligent Planning (Artificial Intelligence) Cover

 

Synopses & Reviews

Synopsis:

This monograph on planning based on Artificial Intelligence methods may serve both as an advanced textbook and as a general reference book. AI planning is an active research and applications field concerned with action and plan representation, plan synthesis and reasoning, analysis of planning algorithms, plan execution and monitoring, and plan reuse and learning. The book provides a clear, thorough coverage of key areas of classical AI planning. Its main theme is to build more intelligence on a set of basic algorithms and representations for planning. It presents advanced techniques for plan generation using decomposition and plan merging and for analyzing and comparing planning algorithms. The book contains illustrations, examples, algorithms, analyses, tables, and extensive references.

Description:

Includes bibliographical references (p. [239]-248) and index.

Product Details

ISBN:
9783540619017
Other:
Pollock, M.
Publisher:
Springer
Author:
Yang, Qiang
Location:
Berlin ;
Subject:
Planning
Subject:
Integrated Software - IBM Compatible
Subject:
Artificial Intelligence
Subject:
Planning -- Data processing -- Congresses.
Subject:
Miscellaneous Software
Subject:
Artificial Intelligence - General
Subject:
Computers-Reference - General
Series:
Artificial Intelligence
Series Volume:
sv. 47
Publication Date:
19971131
Binding:
Hardcover
Language:
English
Illustrations:
Yes
Pages:
252
Dimensions:
9.63x6.43x.83 in. 1.18 lbs.

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General

Intelligent Planning (Artificial Intelligence)
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$ In Stock
Product details 252 pages Springer-Verlag - English 9783540619017 Reviews:
"Synopsis" by , This monograph on planning based on Artificial Intelligence methods may serve both as an advanced textbook and as a general reference book. AI planning is an active research and applications field concerned with action and plan representation, plan synthesis and reasoning, analysis of planning algorithms, plan execution and monitoring, and plan reuse and learning. The book provides a clear, thorough coverage of key areas of classical AI planning. Its main theme is to build more intelligence on a set of basic algorithms and representations for planning. It presents advanced techniques for plan generation using decomposition and plan merging and for analyzing and comparing planning algorithms. The book contains illustrations, examples, algorithms, analyses, tables, and extensive references.
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