Comparative evaluation of cooperative plan execution strategies in multiagent environments

Sylvain Lauzac, Taieb F. Znati

Research output: Contribution to journalConference articlepeer-review


Coordinating the action of distributed agents in a dynamically changing environment is a difficult task. The difficulty stems from the fact the real-world environment changes independently from the actions of the agents. Furthermore, the agents may have limited competence and awareness about one another's decision and about the environment. This paper focuses on cooperative plan execution and presents a dynamic threshold-based scheme for balancing load among distributed agents. Different load balancing strategies, namely client initiated, server initiated, and hybrid, are discussed, and a comparative analysis of these strategies is presented. The study shows that dynamic threshold-based strategies perform well compared to static threshold-based methods. The study also shows that dynamic threshold-based strategies greatly reduce the communication overhead, and are well suited for cooperative plan execution in dynamic environments.

Original languageEnglish
Pages (from-to)126-135
Number of pages10
JournalProceedings of the IEEE Annual Simulation Symposium
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the 28th Annual Simulation Symposium - Phoenix, AZ, USA
Duration: Apr 9 1994Apr 13 1994

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation


Dive into the research topics of 'Comparative evaluation of cooperative plan execution strategies in multiagent environments'. Together they form a unique fingerprint.

Cite this