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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Shindo, Seiichi (VerfasserIn), Sumida, Masato (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Tokyo, Japan 1991
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.

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