Environment organization of roles using polymorphism

Derek Messie, Jae C. Oh

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

Abstract

In the field of multi-agent systems, there has lately been a growing interest on ways in which the environment can better be exploited to coordinate agent behavior and manage complex problems, This paper describes an environment that is able to organize and adapt agent roles as conditions warrant. Roles are adapted using polymorphism as directed by the environment. The design combines strategies from game theory and other biologically inspired models to address fault mitigation in large-scale, real-time, distributed systems. It is implemented on a prototype of the data acquisition system for BTeV, a High Energy Physics experiment consisting of 2500 digital signal processors. Results show environment organization of roles for the lightweight agents embedded within each of the individual processors.

Original languageEnglish (US)
Title of host publicationEnvironments for Multi-Agent Systems II - Second International Workshop, E4MAS 2005, Selected Revised and Invited Papers
Pages251-269
Number of pages19
DOIs
StatePublished - Jul 3 2006
EventSecond International Workshop on Environments for Multi-Agent Systems, E4MAS 2005 - Utrecht, Netherlands
Duration: Jul 25 2005Jul 25 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3830 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherSecond International Workshop on Environments for Multi-Agent Systems, E4MAS 2005
CountryNetherlands
CityUtrecht
Period7/25/057/25/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Messie, D., & Oh, J. C. (2006). Environment organization of roles using polymorphism. In Environments for Multi-Agent Systems II - Second International Workshop, E4MAS 2005, Selected Revised and Invited Papers (pp. 251-269). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3830 LNAI). https://doi.org/10.1007/11678809_15