Learning of symbiotic relations among agents by using neural networks

Kotaro Hirasawa, Hidemasa Yoshida, Katsushige Nakanishi, Takayuki Furuzuki, Junichi Murata

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

Abstract

Symbiotic relation among agents is regarded as one of the most basic relations in the complex systems. In this paper, a method for constructing the required symbiotic relations among the agents is proposed, where the agent is made up of a layered neural network and its parameters are trained in order to realize the required symbiotic relations. From simulations of the ecosystems, whose agent corresponds to the species, it has been clarified that the proposed method can give an ecosystem model with more flexible and more powerful representation abilities than the conventional Lotka-Volterra model.

Original languageEnglish
Title of host publicationProceedings of the International Joint Conference on Neural Networks
Pages583-588
Number of pages6
Volume1
Publication statusPublished - 2002
Externally publishedYes
Event2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI
Duration: 2002 May 122002 May 17

Other

Other2002 International Joint Conference on Neural Networks (IJCNN '02)
CityHonolulu, HI
Period02/5/1202/5/17

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Neural networks
Ecosystems
Large scale systems

ASJC Scopus subject areas

  • Software

Cite this

Hirasawa, K., Yoshida, H., Nakanishi, K., Furuzuki, T., & Murata, J. (2002). Learning of symbiotic relations among agents by using neural networks. In Proceedings of the International Joint Conference on Neural Networks (Vol. 1, pp. 583-588)

Learning of symbiotic relations among agents by using neural networks. / Hirasawa, Kotaro; Yoshida, Hidemasa; Nakanishi, Katsushige; Furuzuki, Takayuki; Murata, Junichi.

Proceedings of the International Joint Conference on Neural Networks. Vol. 1 2002. p. 583-588.

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

Hirasawa, K, Yoshida, H, Nakanishi, K, Furuzuki, T & Murata, J 2002, Learning of symbiotic relations among agents by using neural networks. in Proceedings of the International Joint Conference on Neural Networks. vol. 1, pp. 583-588, 2002 International Joint Conference on Neural Networks (IJCNN '02), Honolulu, HI, 02/5/12.
Hirasawa K, Yoshida H, Nakanishi K, Furuzuki T, Murata J. Learning of symbiotic relations among agents by using neural networks. In Proceedings of the International Joint Conference on Neural Networks. Vol. 1. 2002. p. 583-588
Hirasawa, Kotaro ; Yoshida, Hidemasa ; Nakanishi, Katsushige ; Furuzuki, Takayuki ; Murata, Junichi. / Learning of symbiotic relations among agents by using neural networks. Proceedings of the International Joint Conference on Neural Networks. Vol. 1 2002. pp. 583-588
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