Learning of symbiotic relations among agents by using neural networks

Symbiotic relation among agents is regarded as one of the most basic relations in complex systems. In the paper, a method for constructing the required symbiotic relations among 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