Real-Time Search for Learning Autonomous Agents:
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 focuse...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1997
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science
406 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XVI, 126 p) |
| ISBN: | 9780585345079 |
| DOI: | 10.1007/b102407 |
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| 520 | |a 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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Datensatz im Suchindex
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| any_adam_object | |
| author | Ishida, Toru |
| author_facet | Ishida, Toru |
| author_role | aut |
| author_sort | Ishida, Toru |
| author_variant | t i ti |
| building | Verbundindex |
| bvnumber | BV045185796 |
| collection | ZDB-2-ENG |
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| dewey-full | 004.6 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
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| dewey-search | 004.6 |
| dewey-sort | 14.6 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/b102407 |
| format | Electronic eBook |
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| id | DE-604.BV045185796 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:56Z |
| institution | BVB |
| isbn | 9780585345079 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030574973 |
| oclc_num | 1053824621 |
| open_access_boolean | |
| owner | DE-634 |
| owner_facet | DE-634 |
| physical | 1 Online-Ressource (XVI, 126 p) |
| psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
| publishDate | 1997 |
| publishDateSearch | 1997 |
| publishDateSort | 1997 |
| publisher | Springer US |
| record_format | marc |
| series2 | The Springer International Series in Engineering and Computer Science |
| spelling | Ishida, Toru Verfasser aut Real-Time Search for Learning Autonomous Agents by Toru Ishida Boston, MA Springer US 1997 1 Online-Ressource (XVI, 126 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science 406 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 Computer Science Special Purpose and Application-Based Systems Artificial Intelligence (incl. Robotics) Computer Science, general Computer science Special purpose computers Artificial intelligence Erscheint auch als Druck-Ausgabe 9780792399445 https://doi.org/10.1007/b102407 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Ishida, Toru Real-Time Search for Learning Autonomous Agents Computer Science Special Purpose and Application-Based Systems Artificial Intelligence (incl. Robotics) Computer Science, general Computer science Special purpose computers Artificial intelligence |
| title | Real-Time Search for Learning Autonomous Agents |
| title_auth | Real-Time Search for Learning Autonomous Agents |
| title_exact_search | Real-Time Search for Learning Autonomous Agents |
| title_full | Real-Time Search for Learning Autonomous Agents by Toru Ishida |
| title_fullStr | Real-Time Search for Learning Autonomous Agents by Toru Ishida |
| title_full_unstemmed | Real-Time Search for Learning Autonomous Agents by Toru Ishida |
| title_short | Real-Time Search for Learning Autonomous Agents |
| title_sort | real time search for learning autonomous agents |
| topic | Computer Science Special Purpose and Application-Based Systems Artificial Intelligence (incl. Robotics) Computer Science, general Computer science Special purpose computers Artificial intelligence |
| topic_facet | Computer Science Special Purpose and Application-Based Systems Artificial Intelligence (incl. Robotics) Computer Science, general Computer science Special purpose computers Artificial intelligence |
| url | https://doi.org/10.1007/b102407 |
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