Learning of symbiotic phenomena between agents by using neural networks
Kotaro Hirasawa, Hidemasa Yoshida, Jinglu Hu · Electrical Engineering in Japan · 2002
Abstract Recently, numerous attempts have been made by researchers to understand the essence of complex phenomena (complex systems). In this paper, we consider biological systems in nature as being among the most complex systems. The purpose of this paper is to propose a method of realizing symbiotic phenomena such as mutual benefit, competition, and exploitation more generally than the Lotka–Volterra equation by using neural networks. © 2002 Wiley Periodicals, Inc. Electr Eng Jpn, 140(1): 77–88, 2002; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.1172 Copyright © 2002 Scripta Technica