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integrating Marker Passing and Problem Solving : A Spreading Activation Approach To Improved Choice in Planning, Hardback Book

integrating Marker Passing and Problem Solving : A Spreading Activation Approach To Improved Choice in Planning Hardback

Part of the Artificial Intelligence Series series

Hardback

Description

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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