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Self-policing networks such as wireless ad hoc and sensor networks face a number of problems to retain trustworthiness and cooperation of the network. This paper presents an approach to build trust through an effective, dynamic and distributed framework using evolutionary game theory. Noncooperative and evolutionary game theory has been utilized to model the dynamic behavior of selfish nodes in an ad hoc network, which demonstrates that it can increase the performance, even if the negotiations are absent. The proposed model learns and predicts the evolutionary behavior of neighbors. Investigation of the simulation results confirms that if nodes use trust based evolving strategies, maximum cooperation among the nodes is feasible during forwarding of data packets.