Using action benefits and plan certainties in multiagent problem solving

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

1 Citation (Scopus)

Abstract

Choosing socially coherent and rational actions is essential in multiagent problem solving. In some domains, exchanging agents' plans are helpful for understanding what are rational actions. If they has little shared knowledge or environment, however, it is hard to understand other agents' plans. This paper discusses the utility-based cooperation for this situation. A utility matrix are created based on the local plans and through communications with other agents instead of exchanging plans. Utility numbers are calculated according to action benefits and plan certainties. Intuitively, an action benefit expresses the importance of performing or verifying the current plan, and a plan certainty expresses how strongly the agent making the plan believes that it is correct or effective for the current problem solving. Actions based on a plan supported by many proofs have high utility-numbers and so are priority over other actions. Finally, we will show how the performance can be improved by our method through experiments.

Original languageEnglish
Title of host publicationProceedings of the Conference on Artificial Intelligence Applications
PublisherPubl by IEEE
Pages407-413
Number of pages7
ISBN (Print)0818638400
Publication statusPublished - 1993 Jan 1
EventProceedings of the 9th Conference on Artificial Intelligence for Applications - Orlando, FL, USA
Duration: 1993 Mar 11993 Mar 5

Publication series

NameProceedings of the Conference on Artificial Intelligence Applications

Other

OtherProceedings of the 9th Conference on Artificial Intelligence for Applications
CityOrlando, FL, USA
Period93/3/193/3/5

ASJC Scopus subject areas

  • Software

Fingerprint Dive into the research topics of 'Using action benefits and plan certainties in multiagent problem solving'. Together they form a unique fingerprint.

  • Cite this

    Sugawara, T. (1993). Using action benefits and plan certainties in multiagent problem solving. In Proceedings of the Conference on Artificial Intelligence Applications (pp. 407-413). (Proceedings of the Conference on Artificial Intelligence Applications). Publ by IEEE.