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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 work presents four agents with different strategies to play a version of the 2-sided dominoes game, usually played in Minas Gerais state, Brazil. This incomplete information game must be played with two players and the goal is to discard all tiles first according to the rules. Each pair of agents was tested in a computational experiment, for 1,000,000 matches, in order to evaluate the individual...
Power Distribution Network Reconfiguration demands the change of current state of the network in order to reach optimal operation according to some previouly defined figures of merit. This paper presents a new methodology based on Multi-Agent Systems for power distribution network reconfiguration aiming at minimizing power losses based on game theory. The principal characteristic of the game is the...
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...
This paper presents some strategies used for creating intelligent players of rock-paper-scissors using WiSARD weightless neural networks and results obtained therewith. These strategies included: (i) a new approach for encoding of the input data, (ii) three new training algorithms that allow the reclassification of the input patterns over time, (iii) a method for dealing with incomplete information...
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