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integrating Marker Passing and Problem Solving: A Spreading Activation Approach To Improved Choice in Planning (Artificial Intelligence Series) - Hardcover
Synopsis
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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About the Author
James A. Hendler Department of Computer Science, The University of Maryland
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Integrating Marker Passing and Problem Solving : A Spreading Activation Approach to Improved Choice in Planning
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Lawrence Erlbaum Associates, Incorporated, Mahwah, NJ, U.S.A., 1988
ISBN 10: 0898599822
ISBN 13: 9780898599824
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Integrating marker-passing and problem-solving a spreading activation approach to improved choice in planning James A. Hendler.
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Hillsdale, Lawrence Erlbaum, 1988
ISBN 10: 0898599822
ISBN 13: 9780898599824
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integrating Marker Passing and Problem Solving: A Spreading Activation Approach To Improved Choice in Planning (Artificial Intelligence Series)
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Integrating Marker-Passing and Problem Solving : A Spreading Activation Approach to Improved Choice in Planning
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integrating Marker Passing and Problem Solving: A Spreading Activation Approach To Improved Choice in Planning (Artificial Intelligence Series)
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