Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
Abstract—We are interested in the problem of multiagent systems development for risk detecting and emergency response in an uncertain and partially perceived environment. The eva...
Mitigating the devastating ramifications of major disasters requires emergency workers to respond in a maximally efficient way. Information systems can improve their efficiency by ...
In this paper, we first discuss the meaning of physical embodiment and the complexity of the environment in the context of multi-agent learning. We then propose a vision-based rei...
This paper addresses distributed task allocation in complex scenarios modeled using the distributed constraint optimization problem (DCOP) formalism. We propose and evaluate a nov...
Paulo Roberto Ferreira Jr., Felipe S. Boffo, Ana L...