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Toru Ishida - Real-Time Search for Learning Autonomous Agents - 9780792399445 - V9780792399445
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Real-Time Search for Learning Autonomous Agents

€ 183.37
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Description for Real-Time Search for Learning Autonomous Agents Hardback. Autonomous agents or multiagent systems are computational systems in which several computational agents interact or work together to perform some set of tasks. These systems may involve computational agents having common goals or distinct goals. This book focuses on extending real-time search algorithms for autonomous agents. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 126 pages, biography. BIC Classification: UN; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 9. Weight in Grams: 387.
Autonomous agents or multiagent systems are computational systems in which several computational agents interact or work together to perform some set of tasks. These systems may involve computational agents having common goals or distinct goals.
Real-Time Search for Learning Autonomous Agents focuses on extending real-time search algorithms for autonomous agents and for a multiagent world. Although real-time search provides an attractive framework for resource-bounded problem solving, the behavior of the problem solver is not rational enough for autonomous agents. The problem solver always keeps the record of its moves ... Read more

Product Details

Format
Hardback
Publication date
1997
Publisher
Kluwer Academic Publishers United States
Number of pages
126
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
126
Place of Publication
Dordrecht, Netherlands
ISBN
9780792399445
SKU
V9780792399445
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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