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Finding Nash equilibria has been one of the early objectives of research in game theory, and still represents a challenge to this day. We introduce a multiobjective formulation for computing Pareto-optimal sets of mixed Nash equilibria in normal form games. Computing these sets can be notably useful in decision making, because it focuses the analysis on solutions with greater outcome and hence more...
This paper reports modifications on a biologically inspired robotic architecture originally designed to work in single agent contexts. Several adaptations have been applied to the architecture, seeking as result a model-free artificial agent able to accomplish shared goals in a multiagent environment, from sensorial information translated into homeostatic variable values and a rule database that play...
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