| 书目名称 | Real-Time Search for Learning Autonomous Agents |
| 编辑 | Toru Ishida |
| 视频video | |
| 丛书名称 | The Springer International Series in Engineering and Computer Science |
| 图书封面 |  |
| 描述 | Autonomous agents or multiagent systems are computationalsystems in which several computational agents interact or worktogether to perform some set of tasks. These systems may involvecomputational agents having common goals or distinct goals. ..Real-Time Search for Learning Autonomous Agents. focuses onextending real-time search algorithms for autonomous agents and for amultiagent world. Although real-time search provides an attractiveframework for resource-bounded problem solving, the behavior of theproblem solver is not rational enough for autonomous agents. Theproblem solver always keeps the record of its moves and the problemsolver cannot utilize and improve previous experiments. Other problemsare that although the algorithms interleave planning and execution,they cannot be directly applied to a multiagent world. The problemsolver cannot adapt to the dynamically changing goals and the problemsolver cannot cooperatively solve problems with other problem solvers.This book deals with all these issues. ..Real-Time Search for Learning Autonomous Agents. serves as anexcellent resource for researchers and engineers interested in bothpractical references and some theoretical basis for |
| 出版日期 | Book 1997 |
| 关键词 | agents; algorithms; autonom; autonomous agents; behavior; control; controlling; learning; organization; perfo |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b102407 |
| isbn_softcover | 978-1-4757-7064-3 |
| isbn_ebook | 978-0-585-34507-9Series ISSN 0893-3405 |
| issn_series | 0893-3405 |
| copyright | Springer Science+Business Media New York 1997 |
发表于 2025-3-21 19:39:24
