Symbiotic learning and evolution on social science

Noriko Ota, Kotaro Hirasawa, Takayuki Furuzuki

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

Abstract

"Multi Agent Systems with Symbiotic Learning and Evolution (Masbiole)" is an evolutionary computation modeled after the symbiotic relations in the ecosystem. In this paper, the simulations of "Robber and Police Game" that is assumed a basic model of Social Science are carried out to validate its performance, where two teams named robber and police compete each other.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages3649-3652
Number of pages4
Publication statusPublished - 2005
EventSICE Annual Conference 2005 - Okayama
Duration: 2005 Aug 82005 Aug 10

Other

OtherSICE Annual Conference 2005
CityOkayama
Period05/8/805/8/10

Fingerprint

Social sciences
Law enforcement
Multi agent systems
Evolutionary algorithms
Ecosystems

Keywords

  • Masbiole
  • Social Science
  • Symbiotic Evolution

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ota, N., Hirasawa, K., & Furuzuki, T. (2005). Symbiotic learning and evolution on social science. In Proceedings of the SICE Annual Conference (pp. 3649-3652)

Symbiotic learning and evolution on social science. / Ota, Noriko; Hirasawa, Kotaro; Furuzuki, Takayuki.

Proceedings of the SICE Annual Conference. 2005. p. 3649-3652.

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

Ota, N, Hirasawa, K & Furuzuki, T 2005, Symbiotic learning and evolution on social science. in Proceedings of the SICE Annual Conference. pp. 3649-3652, SICE Annual Conference 2005, Okayama, 05/8/8.
Ota N, Hirasawa K, Furuzuki T. Symbiotic learning and evolution on social science. In Proceedings of the SICE Annual Conference. 2005. p. 3649-3652
Ota, Noriko ; Hirasawa, Kotaro ; Furuzuki, Takayuki. / Symbiotic learning and evolution on social science. Proceedings of the SICE Annual Conference. 2005. pp. 3649-3652
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