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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Language English ● Format PDF ● Pages 312 ● ISBN 9781317766612 ● Publisher Taylor and Francis ● Published 2014 ● Downloadable 6 times ● Currency EUR ● ID 3175023 ● Copy protection Adobe DRM
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