Characterizing complex behavior in (self-organizing) multi-agent systems

Bingcheng Hu*, Jiming LIU

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

In this paper, we show our work on characterizing complex behavior in self-organizing (SOMAS) and non-self-organizing (NonSOMAS) multi-agent systems. Through experiments and analysis, we investigate how Self-Organized Criticality (SOC) phenomena arise in SOMAS rather than in NonSOMAS. Furthermore, we compare the order of agent performance in the two types of systems and explain its implications.

Original languageEnglish
Pages (from-to)1274-1283
Number of pages10
JournalLecture Notes in Computer Science
Volume3481
Issue numberII
DOIs
Publication statusPublished - 2005
EventInternational Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore
Duration: 9 May 200512 May 2005

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'Characterizing complex behavior in (self-organizing) multi-agent systems'. Together they form a unique fingerprint.

Cite this