Extraction of implicit resource relationships in multi-agent systems

Toshiharu Sugawara, Satoshi Kurihara, Osamu Akashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


This paper discusses the storage and analysis of past hierarchical-planning results in order to identify implicit costs and resource relationships between activities in multi-agent contexts. We have previously proposed a plan-reuse framework in which plans are stored as templates after use and then reused to speed up planning activity in multi-agent systems. In this paper, we propose the mech-anizm for learning, from templates that consist of used plans and data recorded during planning and execution, implicit relationships concerning resource usage by multiple agents. Here, implicit indicates that the relationships exist in the environments where agents are deployed but are not described in the domain models the agents have. The plan-reuse framework also provides guidance on which data the planner and executor should record and on when the learned rules should be applied. Finally, some examples show how this learning enables the creation of more appropriate solutions by agents.

Original languageEnglish
Title of host publicationIntelligent Agents and Multi-Agent Systems
EditorsJaeho Lee, Mike Barley
PublisherSpringer Verlag
Number of pages13
ISBN (Electronic)9783540204602
Publication statusPublished - 2003
Externally publishedYes
Event6th Pacific Rim International Workshop on Multi-Agents, PRIMA 2003 - Seoul, Korea, Republic of
Duration: 2003 Nov 72003 Nov 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other6th Pacific Rim International Workshop on Multi-Agents, PRIMA 2003
Country/TerritoryKorea, Republic of

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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