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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语言 英语 ● 格式 EPUB ● 网页 312 ● ISBN 9781317766605 ● 出版者 Taylor and Francis ● 发布时间 2014 ● 下载 6 时 ● 货币 EUR ● ID 3175020 ● 复制保护 Adobe DRM
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