Modeling of Mutual Interaction of Complicated Systems by Spatial Distribution Universal Learning Networks

Abstract

Recently, many people are involved in the research of complex systems which are made of a large number of elements interacting with each other.
In this paper, a new modeling method of mutual interaction of the complicated systems is proposed by using Spatial Distribution Universal Learning Networks (SdULNs) and Fuzzy inference algorithms.
In addition, the proposed model is applied to the modeling of ecosystems which are described as the Lotka-Volterra equation.
From simulations where apriori information on ecosystems is given, it has been cleared that the proposed method can present more flexible emergent dynamics than the conventional Lotka-Volterra equation.