Managing Strategies for Cooperative Multi-Agents under Diversity

In this investigation, we propose a new kind of framework for multiple agents by which the agents take their decisions in a cooperative manner towards diverse society. Basically, putting importance on observed information, we like to obtain likely consequences consistent with the information sources. To do that, we manage several decisions in terms of best strategy by using Maximal Likelihood Estimation (MLE) on some probability distributions. We show some experimental results of our approach, and examine how well practical agents play and how well the model captures the situation.