Learning Implicit Resource Relationships from Past Plans in Multi-Agent Systems

Toshiharu Sugawara; Satoshi Kurihara; Osamu Akashi

doi:10.1145/860575.860830

Learning Implicit Resource Relationships from Past Plans in Multi-Agent Systems

Toshiharu Sugawara^*, Satoshi Kurihara, Osamu Akashi

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

Abstract

The storage and analysis of the hierarchical planning results in the past to identify implicit costs and resource relationships between activities in multi-agent systems are discussed. To realize effective activities of agents, coordination and cooperation is essential in multi-agent systems. The used plans are retained with costs, time, used resources, conflicts among agents and the environments. The observed data for each primitive task sequence which indicates performance of tasks such as execution time and the period and amount of resource usage is compared.

Original language	English
Pages	1130-1131
Number of pages	2
DOIs	https://doi.org/10.1145/860575.860830
Publication status	Published - 2003
Externally published	Yes
Event	Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03 - Melbourne, Vic., Australia Duration: 2003 Jul 14 → 2003 Jul 18

Conference

Conference	Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03
Country/Territory	Australia
City	Melbourne, Vic.
Period	03/7/14 → 03/7/18

Keywords

Coordination
Learning
Multi-agent systems
Planning
Reuse

ASJC Scopus subject areas

Engineering(all)

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10.1145/860575.860830

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Learning Implicit Resource Relationships from Past Plans in Multi-Agent Systems. / Sugawara, Toshiharu; Kurihara, Satoshi; Akashi, Osamu.
2003. 1130-1131 Paper presented at Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03, Melbourne, Vic., Australia.

Research output: Contribution to conference › Paper › peer-review

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author = "Toshiharu Sugawara and Satoshi Kurihara and Osamu Akashi",

year = "2003",

doi = "10.1145/860575.860830",

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AU - Kurihara, Satoshi

AU - Akashi, Osamu

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N2 - The storage and analysis of the hierarchical planning results in the past to identify implicit costs and resource relationships between activities in multi-agent systems are discussed. To realize effective activities of agents, coordination and cooperation is essential in multi-agent systems. The used plans are retained with costs, time, used resources, conflicts among agents and the environments. The observed data for each primitive task sequence which indicates performance of tasks such as execution time and the period and amount of resource usage is compared.

AB - The storage and analysis of the hierarchical planning results in the past to identify implicit costs and resource relationships between activities in multi-agent systems are discussed. To realize effective activities of agents, coordination and cooperation is essential in multi-agent systems. The used plans are retained with costs, time, used resources, conflicts among agents and the environments. The observed data for each primitive task sequence which indicates performance of tasks such as execution time and the period and amount of resource usage is compared.

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KW - Learning

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KW - Planning

KW - Reuse

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ER -

Learning Implicit Resource Relationships from Past Plans in Multi-Agent Systems

Abstract

Conference

Keywords

ASJC Scopus subject areas

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