Sanguk Noh and Piotr J. Gmytrasiewicz, University of Texas at Arlington
The primary goal of our demonstration is to show results we obtained on communication among artificial and human agents interacting in a simulated air-defense domain. For artificial agents, we advocate a decision-theoretic message selection mechanism which maximizes the expected utility of the communicative actions. Thus, the agents compute the expected utility of alternative communicative behaviors, and execute the one with the highest value. Following the principle of maximizing the expected utility, our agents are intended to be rational in their communicative behavior; they send only the most valuable messages, and never send messages they consider to be damaging given the circumstances at hand.