Artificial Intelligence

A Spreading Activation Approach To Improved Choice in Planning

By: James A. Hendler

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Hardcover | 1 November 1987 | Edition Number 1

At a Glance

Hardcover
318 Pages

Dimensions(cm)
22.86 x 15.24 x 1.91

Hardcover

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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.

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