Engineering self-organizing multi-agent systems

Radhika Nagpal, Chih Han Yu, Daniel Yamins

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

3 Scopus citations

Abstract

In this demo session, we will present two examples of how one can systematically program self-organizing multi-agent systems, using inspiration from biology. The first system is a modular robot that autonomously adapts to satisfy complex environmentally-adaptive goals through the cooperation of multiple module agents. The second is a global-to-local compiler that can transform a user-specified pattern formation goal into a multi-agent program and reason about the agent resources required. These systems show (1) how biological design principles can be formally captured and theoretically analyzed, and (2) how global goals can be translated into local interactions amongst many simple agents. Both systems will be demonstrated in real-time and interactively with the audience.

Original languageEnglish (US)
Title of host publication7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1667
Number of pages1
ISBN (Print)9781605604701
StatePublished - 2008
Externally publishedYes
Event7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008 - Estoril, Portugal
Duration: May 12 2008May 16 2008

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume3
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Conference

Conference7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008
Country/TerritoryPortugal
CityEstoril
Period5/12/085/16/08

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

Keywords

  • Cellular automata
  • Global-to-local compilers
  • Self-organization

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