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Книга Real-Time Search for Learning Autonomous Agents Toru Ishida

Real-Time Search for Learning Autonomous Agents

Автор: Toru Ishida
Език: Английски език
Корици: С твърди корици
Издател: Springer
Наличност: Външен склад в ограничено количество
Изпращаме след 13-18 дни
178.13 € 348.40 лв
Autonomous agents or multiagent systems are computational systems in which several computational age...

Информация за книгата

Автор
Toru Ishida
Език
Английски език
Корици
Книга - С твърди корици
Издадена
1997
страници
126
EAN
9780792399445
ISBN
0792399447
Enbook ID
01398552
Издател
Springer
Теглоt
860
Размери
155 x 235 x 10

Пълно описание

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 and the problem solver cannot utilize and improve previous experiments. Other problems are that although the algorithms interleave planning and execution, they cannot be directly applied to a multiagent world. The problem solver cannot adapt to the dynamically changing goals and the problem solver cannot cooperatively solve problems with other problem solvers. This book deals with all these issues. Real-Time Search for Learning Autonomous Agents serves as an excellent resource for researchers and engineers interested in both practical references and some theoretical basis for agent/multiagent systems. The book can also be used as a text for advanced courses on the subject.

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