Decentralized control and interactive design methods for large-scale heterogeneous self-organizing swarms

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

18 Citations (Scopus)

Abstract

We present new methods of decentralized control and interactive design for artificial swarms of a large number of agents that can spontaneously organize and maintain non-trivial heterogeneous formations. Our model assumes no elaborate sensing, computation, or communication capabilities for each agent; the self-organization is achieved solely by simple kinetic interactions among agents. Specifications of the final formations are indirectly and implicitly woven into a list of different kinetic parameter settings and their proportions, which would be hard to obtain with a conventional top-down design method but may be designed heuristically through interactive design processes.

Original languageEnglish
Title of host publicationAdvances in Artificial Life - 9th European Conference, ECAL 2007, Proceedings
Pages675-684
Number of pages10
Publication statusPublished - 2007 Dec 1
Externally publishedYes
Event9th European Conference on Advance in Artificial Life, ECAL 2007 - Lisbon, Portugal
Duration: 2007 Sep 102007 Sep 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4648 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th European Conference on Advance in Artificial Life, ECAL 2007
CountryPortugal
CityLisbon
Period07/9/1007/9/14

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Sayama, H. (2007). Decentralized control and interactive design methods for large-scale heterogeneous self-organizing swarms. In Advances in Artificial Life - 9th European Conference, ECAL 2007, Proceedings (pp. 675-684). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4648 LNAI).