Multi-level network analysis of multi-agent systems

Research output: Chapter in Book/Report/Conference proceedingChapter

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15 Downloads (Pure)

Abstract

This paper presents a multi-level network-based approach to study complex systems formed by multiple autonomous agents. The fundamental idea behind this approach is that elements of a system (represented by network vertices) and their interactions (represented by edges) can be assembled to form structures. Structures are considered to be at one hierarchical level above the elements and interactions that form them, leading to a multi-level organisation. Analysing complex systems represented by multi-level networks make possible the study of the relationships between network topology and dynamics to the system’s global outcome. The framework proposed in this paper is exemplified using data from the RoboCup Football Simulation League.
Original languageEnglish
Title of host publicationRoboCup 2008: Robot Soccer World Cup XII
EditorsL Iocchi, H Matsubara, A Weitzenfeld, C Zhou
Place of PublicationBerlin
PublisherSpringer
Pages495-506
Number of pages12
Volume5399 LNAI
ISBN (Print)978-3-642-02920-2
DOIs
Publication statusPublished - 2009
Event12th annual RoboCup International Symposium, RoboCup 2008, July 15, 2008 - July 18, 2008 - Suzhou, China
Duration: 1 Jan 2009 → …

Publication series

NameLecture Notes in Artificial Intelligence, Vol. 5399
PublisherSpringer

Conference

Conference12th annual RoboCup International Symposium, RoboCup 2008, July 15, 2008 - July 18, 2008
CountryChina
CitySuzhou
Period1/01/09 → …

Keywords

  • Multi agent systems
  • Electric network topology
  • Electric network analysis
  • Autonomous agents
  • Large scale systems

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  • Cite this

    Iravani, P. (2009). Multi-level network analysis of multi-agent systems. In L. Iocchi, H. Matsubara, A. Weitzenfeld, & C. Zhou (Eds.), RoboCup 2008: Robot Soccer World Cup XII (Vol. 5399 LNAI, pp. 495-506). (Lecture Notes in Artificial Intelligence, Vol. 5399). Springer. https://doi.org/10.1007/978-3-642-02921-9_43