On emergent complex behaviour, self-organised criticality and phase transitions in multi-agent systems: Autonomy oriented computing (AOC) perspectives

Jiming LIU*, Bingcheng Hu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

In a Multi-Agent System (MAS), there usually exist system-level goals that agents are collectively trying to attain. Generally speaking, the local behaviours and performances of individual agents directly determine which global characteristics of an MAS, for example, the global performance and/or patterns, will emerge and how the system-level goals will be attained. In most cases, such a local global relationship is neither obvious nor straightforward. In this paper, we will address several issues on modelling emergent complex behaviours in MAS. In particular, we will focus on the local global relationship in a Self-Organising MAS (SOMAS), and discuss the phenomena of Self-Organised Criticality (SOC) and phase transition in SOMAS.

Original languageEnglish
Pages (from-to)3-16
Number of pages14
JournalInternational Journal of Modelling, Identification and Control
Volume3
Issue number1
DOIs
Publication statusPublished - May 2008

Scopus Subject Areas

  • Modelling and Simulation
  • Computer Science Applications
  • Applied Mathematics

User-Defined Keywords

  • Autonomy-oriented computing
  • Emergent complex behaviour
  • Multi-agent systems
  • Phase transition
  • RoboNBA
  • Self-organisation
  • Self-organised criticality

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