Group problem solving by autonomous agents for task allocations problem:
Abstract: "We have developed a group problem solving method called ITM (Iterated Task Migration) for dynamic task allocation problems. ITM takes unoptimal task allocation to agents as input, then the agents try to change their task allocations toward the globally optimal allocation by iteration...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Tokyo, Japan
1991
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Schriftenreihe: | Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum
1063 |
Schlagworte: | |
Zusammenfassung: | Abstract: "We have developed a group problem solving method called ITM (Iterated Task Migration) for dynamic task allocation problems. ITM takes unoptimal task allocation to agents as input, then the agents try to change their task allocations toward the globally optimal allocation by iteration of task migrations. The cooperation by the agents offers the advantages of adaptability and parallelism, which contribute to solving the dynamic task allocation problems. ITM works in two ways, in a synchronized way (called ITM-S) and in an asynchronized way (called ITM-A). To evaluate ITM-S and ITM-A, we have applied them to the trouble recovery problem in the area of transportation This paper describes the algorithms of ITM-S and ITM-A, and their evaluations by the experimental results. |
Beschreibung: | 12 S. |
Internformat
MARC
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100 | 1 | |a Shindo, Seiichi |e Verfasser |4 aut | |
245 | 1 | 0 | |a Group problem solving by autonomous agents for task allocations problem |c by S. Shindo & M. Sumida |
264 | 1 | |a Tokyo, Japan |c 1991 | |
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490 | 1 | |a Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum |v 1063 | |
520 | 3 | |a Abstract: "We have developed a group problem solving method called ITM (Iterated Task Migration) for dynamic task allocation problems. ITM takes unoptimal task allocation to agents as input, then the agents try to change their task allocations toward the globally optimal allocation by iteration of task migrations. The cooperation by the agents offers the advantages of adaptability and parallelism, which contribute to solving the dynamic task allocation problems. ITM works in two ways, in a synchronized way (called ITM-S) and in an asynchronized way (called ITM-A). To evaluate ITM-S and ITM-A, we have applied them to the trouble recovery problem in the area of transportation | |
520 | 3 | |a This paper describes the algorithms of ITM-S and ITM-A, and their evaluations by the experimental results. | |
650 | 4 | |a Problem solving | |
700 | 1 | |a Sumida, Masato |e Verfasser |4 aut | |
830 | 0 | |a Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum |v 1063 |w (DE-604)BV010943497 |9 1063 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-007340599 |
Datensatz im Suchindex
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any_adam_object | |
author | Shindo, Seiichi Sumida, Masato |
author_facet | Shindo, Seiichi Sumida, Masato |
author_role | aut aut |
author_sort | Shindo, Seiichi |
author_variant | s s ss m s ms |
building | Verbundindex |
bvnumber | BV010970966 |
ctrlnum | (OCoLC)26654196 (DE-599)BVBBV010970966 |
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id | DE-604.BV010970966 |
illustrated | Not Illustrated |
indexdate | 2024-07-09T18:01:53Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007340599 |
oclc_num | 26654196 |
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owner_facet | DE-91G DE-BY-TUM |
physical | 12 S. |
publishDate | 1991 |
publishDateSearch | 1991 |
publishDateSort | 1991 |
record_format | marc |
series | Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum |
series2 | Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum |
spelling | Shindo, Seiichi Verfasser aut Group problem solving by autonomous agents for task allocations problem by S. Shindo & M. Sumida Tokyo, Japan 1991 12 S. txt rdacontent n rdamedia nc rdacarrier Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum 1063 Abstract: "We have developed a group problem solving method called ITM (Iterated Task Migration) for dynamic task allocation problems. ITM takes unoptimal task allocation to agents as input, then the agents try to change their task allocations toward the globally optimal allocation by iteration of task migrations. The cooperation by the agents offers the advantages of adaptability and parallelism, which contribute to solving the dynamic task allocation problems. ITM works in two ways, in a synchronized way (called ITM-S) and in an asynchronized way (called ITM-A). To evaluate ITM-S and ITM-A, we have applied them to the trouble recovery problem in the area of transportation This paper describes the algorithms of ITM-S and ITM-A, and their evaluations by the experimental results. Problem solving Sumida, Masato Verfasser aut Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum 1063 (DE-604)BV010943497 1063 |
spellingShingle | Shindo, Seiichi Sumida, Masato Group problem solving by autonomous agents for task allocations problem Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum Problem solving |
title | Group problem solving by autonomous agents for task allocations problem |
title_auth | Group problem solving by autonomous agents for task allocations problem |
title_exact_search | Group problem solving by autonomous agents for task allocations problem |
title_full | Group problem solving by autonomous agents for task allocations problem by S. Shindo & M. Sumida |
title_fullStr | Group problem solving by autonomous agents for task allocations problem by S. Shindo & M. Sumida |
title_full_unstemmed | Group problem solving by autonomous agents for task allocations problem by S. Shindo & M. Sumida |
title_short | Group problem solving by autonomous agents for task allocations problem |
title_sort | group problem solving by autonomous agents for task allocations problem |
topic | Problem solving |
topic_facet | Problem solving |
volume_link | (DE-604)BV010943497 |
work_keys_str_mv | AT shindoseiichi groupproblemsolvingbyautonomousagentsfortaskallocationsproblem AT sumidamasato groupproblemsolvingbyautonomousagentsfortaskallocationsproblem |