{ "item_title" : "integrating Marker Passing and Problem Solving", "item_author" : [" James a. Hendler "], "item_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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/89/859/982/0898599822_b.jpg", "price_data" : { "retail_price" : "52.99", "online_price" : "52.99", "our_price" : "52.99", "club_price" : "52.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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