Generation of fish school by multi agent autonomous learning algorithm

Naiki Onishi, Chie Fujiwara, Tomoko Tateyama, Kazutoshi Sakakibara, Yen Wei Chen

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

Abstract

In this paper, we propose the agent-based architecture to generate fish behaviors in Visual Marine Museum. We use immune network as a decentralized consensus-making system for the behavior arbitration. Parameters of the immune network are automatically acquired by a particle swarm optimization algorithm. Through some numerical experiments, it is observed that appropriate behaviors can be selected by the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011
Pages887-890
Number of pages4
Publication statusPublished - 2011
Externally publishedYes
Event6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011 - Seogwipo, Jeju Island, Korea, Republic of
Duration: 29-11-201101-12-2011

Publication series

NameProceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011

Conference

Conference6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011
Country/TerritoryKorea, Republic of
CitySeogwipo, Jeju Island
Period29-11-1101-12-11

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Information Systems

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