MODELING AND ANALYSIS ITERATED PRISON DILEMMA GAME BY GROSSBERG COUNTER-PROPAGATION NEURAL NETWORK

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MONTAZER G.A.; RASTEGAR RAMSHE N.; ASKARZADE A.

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Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR Year:2012 | Volume:10 | Issue:1 Page(s): 47-54

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Title

MODELING AND ANALYSIS ITERATED PRISON DILEMMA GAME BY GROSSBERG COUNTER-PROPAGATION NEURAL NETWORK

Author(s)

MONTAZER G.A. | RASTEGAR RAMSHE N. | ASKARZADE A. | Issue Writer Certificate

Keywords

PRISON DILEMMA GAMEQ3

ARTIFICIAL NEURAL NETWORKQ3

GROSSBERG COUNTER PROPAGATION NEURAL NETWORKQ3

TFT STRATEGYQ2

Abstract

Most of the time effective decisions in strategic situations such as competitive issues require a non-linear mapping between stimulus and response. ARTIFICIAL NEURAL NETWORKs can be an appropriate way for modeling and solving these kinds of problems. PRISON DILEMMA GAME is a well-known game that is proposed in game theory. This paper tries to describe how using neural network, the iterated prisoner’s dilemma game can be modeled and analyzed. To do this a Grossberg Counter-Propagation Neural Network (GCP-NN) has been designed to play this game. Results show the capability of this method in complete modeling game. The results present the efficiency of the new method in comparison with the two conventional methods: Tit For Tat (TFT) strategy and Perceptron modeled game.

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APA: Copy

MONTAZER, G.A., RASTEGAR RAMSHE, N., & ASKARZADE, A.. (2012). MODELING AND ANALYSIS ITERATED PRISON DILEMMA GAME BY GROSSBERG COUNTER-PROPAGATION NEURAL NETWORK. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, 10(1), 47-54. SID. https://sid.ir/paper/228501/en

Vancouver: Copy

MONTAZER G.A., RASTEGAR RAMSHE N., ASKARZADE A.. MODELING AND ANALYSIS ITERATED PRISON DILEMMA GAME BY GROSSBERG COUNTER-PROPAGATION NEURAL NETWORK. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR[Internet]. 2012;10(1):47-54. Available from: https://sid.ir/paper/228501/en

IEEE: Copy

G.A. MONTAZER, N. RASTEGAR RAMSHE, and A. ASKARZADE, “MODELING AND ANALYSIS ITERATED PRISON DILEMMA GAME BY GROSSBERG COUNTER-PROPAGATION NEURAL NETWORK,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR, vol. 10, no. 1, pp. 47–54, 2012, [Online]. Available: https://sid.ir/paper/228501/en

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