Indirect Reciprocity Game Modelling for Cooperation Stimulation in Cognitive Networks

—In cognitive networks, since nodes generally belong to different authorities and pursue different goals, they will not cooperate with others unless cooperation can improve their own performance. Thus, how to stimulate cooperation among nodes in cognitive networks is very important. However, most of existing game-theoretic cooperation stimulation approaches rely on the assumption that the interactions between any pair of players are long-lasting. When this assumption is not true, according to the well-known Prisoner’s Dilemma and the backward induction principle, the unique Nash equilibrium (NE) is to always play non-cooperatively. In this paper, we propose a cooperation stimulation scheme for the scenario where the number of interactions between any pair of players are finite. The proposed algorithm is based on indirect reciprocity game modelling where the key concept is “I help you not because you have helped me but because you have helped others”. We formulate the problem o...

• Type: Journal
• Year: 2011
• Where: TCOM
• Authors: Yan Chen, K. J. Ray Liu
• Keywords: Cognitive Networks, Cooperation Stimulation, Optimal Action Rule, TCOM 2011