2 Matching Law

This outcome corresponds to the undermatching phenomenon, which has been observed in behavioral experiments. Our results suggest that when we discuss the learning processes in a decision making network, it may be insufficient to only consider a steady state for individual weight updates, and we should therefore consider the dynamics of the weight distribution and the network architecture. This proceeding is a short version of our original paper [12], with the model modified and new results included. First, let us formulate the matching law. We will consider a case with two alternatives (each denoted as A and B), which has generally been studied in animal experiments.