TY - GEN
T1 - An asymmetric multi-agent learning model and its simulation analysis
AU - Qiao, Haiyan
AU - Rozenblit, Jerzy
AU - Szidarovszky, Ferenc
PY - 2006
Y1 - 2006
N2 - Multi-agent decision problems in unknown en- vironments are common where the agents are usually empowered with di®erent decision pow- ers and involved in some sort of the prisoner's dilemma problem. A general solution to this kind of complex decision problem is that the agents cooperate to play a joint action. Asym- metric Nash bargaining solution is an attractive approach to such cooperative games with players of di®erent powers. In this paper, a new multi- agent learning algorithm based on the asymmet- ric Nash bargaining solution is presented. Sim- ulation is performed on a testbed of stochastic games. The experimental results demonstrate that the algorithm is fast and converges to a Pareto-optimal solution. Compared with the learning algorithms based on non-cooperative equilibrium, this approach is faster and avoids the disturbing problem of equilibrium selection.
AB - Multi-agent decision problems in unknown en- vironments are common where the agents are usually empowered with di®erent decision pow- ers and involved in some sort of the prisoner's dilemma problem. A general solution to this kind of complex decision problem is that the agents cooperate to play a joint action. Asym- metric Nash bargaining solution is an attractive approach to such cooperative games with players of di®erent powers. In this paper, a new multi- agent learning algorithm based on the asymmet- ric Nash bargaining solution is presented. Sim- ulation is performed on a testbed of stochastic games. The experimental results demonstrate that the algorithm is fast and converges to a Pareto-optimal solution. Compared with the learning algorithms based on non-cooperative equilibrium, this approach is faster and avoids the disturbing problem of equilibrium selection.
KW - Asymmetric Nash bargaining solution
KW - Multi- agent learning
KW - Pareto-optimality
KW - Simulation
KW - Social dilemma
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M3 - Conference contribution
AN - SCOPUS:84870208555
SN - 8469007262
SN - 9788469007266
T3 - International Mediterranean Modelling Multiconference, I3M
SP - 231
EP - 237
BT - International Mediterranean Modelling Multiconference, IMM
T2 - International Mediterranean Modelling Multiconference, I3M 2006
Y2 - 4 October 2006 through 6 October 2006
ER -