integrating Marker Passing and Problem Solving - A Spreading Activation Approach To Improved Choice in Planning (Hardcover)

A recent area of interest in the Artificial Intelligence community has been the application of massively parallel algorithms to enhance the choice mechanism in traditional AI problems. This volume provides a detailed description of how marker-passing -- a parallel, non-deductive, spreading activation algorithm -- is a powerful approach to refining the choice mechanisms in an AI problem-solving system.
The author scrutinizes the design of both the algorithm and the system, and then reviews the current literature and research in planning and marker passing. Also included: a comparison of this computer model with some standard cognitive models, and a comparison of this model to the "connectionist" approach.

General

Imprint:	Lawrence Erlbaum Assoc
Country of origin:	United States
Series:	Artificial Intelligence Series
Release date:	November 1987
First published:	1988
Authors:	James A. Hendler
Dimensions:	229 x 152 x 19mm (L x W x T)
Format:	Hardcover
Pages:	318
ISBN-13:	978-0-89859-982-4
Categories:	Books > Social sciences > Psychology > Cognition & cognitive psychology > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	0-89859-982-2
Barcode:	9780898599824

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