James A. Hendler

integrating Marker Passing and Problem Solving (eBook, ePUB)

A Spreading Activation Approach To Improved Choice in Planning

• Format: ePub

Produktbeschreibung

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 "e;connectionist"e; approach.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 312
• Erscheinungstermin: 12. Mai 2014
• Englisch
• ISBN-13: 9781317766605
• Artikelnr.: 41327873

Autorenporträt

James A. Hendler Department of Computer Science, The University of Maryland

Inhaltsangabe

Contents: Foundations. Introduction. On Problem
Solving and Planning. On Marker
Passing and Spreading Activation. Integrating Marker
Passing and Problem
Solving
The Inside Story. Inside the Path Evaluator. Designing a Marker
Passer. C
SCRAPS
Adding Concurrency. Cognitive Aspects. On Marker
Passing and Connectionism. SCRAPS in Action. Conclusion.