Identifying opportunities and constraints for goal achievement through relationship analysis

Ronald Ashri, Michael Luck, Mark D'Inverno

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

1 Citation (Scopus)

Abstract

Different methods are introduced for relationship analysis, building on a basic model of interaction between agents and the environment. The combination of relationship analysis with information on goals provides useful tools for identifying possibilities for coordination between agents. To achieve the coordination and regulation among agents as an agent society evolves, identification of relationship between agents at run-time is required. The system can be applied as a means of providing a general analysis of agent system, aiming at the definition of metrices, revealing potential interference between agents.

Original languageEnglish
Title of host publicationProceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004
EditorsN.R. Jennings, C. Sierra, L. Sonenberg, M. Tambe
PublisherAssociation for Computing Machinery (ACM)
Pages1452-1453
Number of pages2
Volume3
ISBN (Print)1581138644, 9781581138641
Publication statusPublished - 19 Jul 2004
EventThird International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004 - New York City, United States
Duration: 19 Jul 200423 Jul 2004
https://www.ifaamas.org/AAMAS/aamas04/
https://dl.acm.org/conference/aamas/proceedings

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

Conference

ConferenceThird International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004
Country/TerritoryUnited States
CityNew York City
Period19/07/0423/07/04
Internet address

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