TY - GEN
T1 - Generation of fish school by multi agent autonomous learning algorithm
AU - Onishi, Naiki
AU - Fujiwara, Chie
AU - Tateyama, Tomoko
AU - Sakakibara, Kazutoshi
AU - Chen, Yen Wei
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84869475933
UR - https://www.scopus.com/pages/publications/84869475933#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:84869475933
SN - 9788988678541
T3 - Proceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011
SP - 887
EP - 890
BT - Proceedings - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011
T2 - 6th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2011
Y2 - 29 November 2011 through 1 December 2011
ER -
