We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the...
The next generation of air traffic control will require automated decision support systems in order to meet safety, reliability, flexibility, and robustness demands in an environ...
Jared C. Hill, F. Ryan Johnson, James K. Archibald...
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
In a multi-agent system (MAS), the agents are often considered to be autonomous entities, such as robots or software programs, each under the influence of a local rule, representin...
This paper proposes the requirements driven agent collaboration. This proposal assumes that there are plenty different service agents distributed in Internet. When a request for ...