Computer Science ›› 2011, Vol. 38 ›› Issue (8): 197-200.
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SHAO Zeng-zhen,WANG Hong-guo,LIU Hong,CHENG Zhao-qianu,YIN Hui-juan
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Abstract: Currently the research of game theory focuses on cooperation, competiton and stability analysis, the impact of psychological factors on game research is still rare. A novel model was proposed in this paper to simulate group game process more truly which introduces emotion character. According to different kind of agent, this model builds individual learning mechanism and strategy mutation mechanism based on emotion character. Simulations show that the ability of learning promotes individual' s even cooperation rate of game and improves group total payoff. And, simulations also show that emotion factor would lead to fluctuation more dramatically whereas little influences to group even total payoff.
Key words: Emotion,Scqucntial evolutionary gamc,I_carning mcchanism,Simulation
SHAO Zeng-zhen,WANG Hong-guo,LIU Hong,CHENG Zhao-qianu,YIN Hui-juan. Sequential Evolutionary Game Simulation Characterized by Learning and Emotion[J].Computer Science, 2011, 38(8): 197-200.
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