Abstract
Using the semi-tensor product of matrices, this paper investigates the computation of purestrategy Nash equilibrium (PNE) for fashion games, and presents several new results. First, a formal fashion game model on a social network is given. Second, the utility function of each player is converted into an algebraic form via the semi-tensor product of matrices, based on which the case of two-strategy fashion game is studied and two methods are obtained for the case to verify the existence of PNE. Third, the multi-strategy fashion game model is investigated and an algorithm is established to find all the PNEs for the general case. Finally, two kinds of optimization problems, that is, the so-called social welfare and normalized satisfaction degree optimization problems are investigated and two useful results are given. The study of several illustrative examples shows that the new results obtained in this paper are effective.
Similar content being viewed by others
References
Acerbi A, Ghirlanda S, and Enquist M, The logic of fashion cycles, PloS One, 2012, 7(3): e32541.
Jackson M, Social and Economic Networks, Princeton University Press, Princeton, NJ, 2008.
Zhang B, Cao Z, Qin C, et al. Fashion and homophily, 2013, Available at SSRN 2250898.
Cao Z, Qin C, Yang X, et al. A heterogeneous network game perspective of fashion cycle, 2013, Available at SSRN 2260025.
Nowak M and May R, Evolutionary games and spatial chaos, Nature, 1992, 359: 826–829.
Hauert C and Doebeli M, Spatial structure often inhibits the evolution of cooperation in the snowdrift game, Nature, 2004, 428: 643–646.
Szabo G and Fath G, Evolutionary games on graphs, Physics Reports, 2007, 446(4): 97–216.
Young H, Individual Strategy and Social Structure: An Evolutionary Theory of Institutions, Princeton University Press, Princeton, NJ, 2001.
Cao Z G and Yang X G, The fashion game: Network extension of matching pennies, Theoretical Computer Science, 2014, 540: 169–181.
Cao Z G, Gao H, Qu X, et al. Fashion, cooperation, and social interactions, PloS One, 2013, 8(1): e49441.
Nash J, Equilibrium points in n-person games, Proceedings of the National Academy of Sciences, 1950, 36(1): 48–49.
Brandta F, Fischera F, and Holzerb M, Symmetries and the complexity of pure Nash equilibrium, Journal of Computer and System Sciences, 2009, 75(3): 163–177.
Duersch P, Oechssler J, and Schipper B C, Pure strategy equilibria in symmetric two-player zero-sum games, International Journal of Game Theory, 2012, 41(3): 553–564.
Li H T, Wang Y Z, and Liu Z B, A semi-tensor product approach to pseudo-Boolean functions with application to Boolean control networks, Asian Journal of Control, 2014, 16(4): 1073–1081.
Cheng D Z, Qi H S, and Li Z Q, Analysis and Control of Boolean Networks: A Semi-Tensor Product Approach, Springer, London, 2010.
Li Z Q, Qiao Y P, Qi H S, et al., Stability of switched polynomial systems, Journal of Systems Science and Complexity, 2008, 21(3): 362–377.
Liu Z B and Wang Y Z. Reachability/controllability of high order mix-valued logical networks, Journal of Systems Science and Complexity, 2013, 26(3): 341–349.
Xu X R and Hong Y G, Solvability and control design for synchronization of Boolean networks, Journal of Systems Science and Complexity, 2013, 26(6): 871–885.
Li F F, Global stability at a limit cycle of switched Boolean networks under arbitrary switching signals, Neurocomputing, 2014, 133: 63–66.
Li H T, Wang Y Z, and Liu Z B, On the observability of free Boolean networks via the semi-tensor product method, Journal of Systems Science and Complexity, 2014, 27(4): 666–678.
Wang Y Z, Zhang C H, and Liu Z B, A matrix approach to graph maximum stable set and coloring problems with application to multi-agent systems, Automatica, 2012, 48(7): 1227–1236.
Qi H S, On shift register via semi-tensor product approach, Proceedings of 32nd Chinese Control Conference, Xi’an, 2013, 208–212.
Yan Y Y, Chen Z Q, and Liu Z, Solving type-2 fuzzy relation equations via semi-tensor product of matrices, Control Theory and Technology, 2014, 12(2): 173–186.
Guo P L, Wang Y Z, and Li H T, Algebraic formulation and strategy optimization for a class of evolutionary networked games via semi-tensor product method, Automatica, 2013, 49(11): 3384–3389.
Cheng D Z and Xu T, Application of STP to cooperative games, Proceedings of 10th IEEE International Conference on Control and Automation, 2013, 1680–1685.
Cheng D Z, Qi H S, He F, et al. Semi-tensor product approach to networked evolutionary games, Control Theory and Technology, 2014, 12(2): 198–214.
Cheng D Z, On finite potential games, Automatica, 2014, 50(7): 1793–1801.
Cheng D Z, Xu T T, and Qi H S, Evolutionarily stable strategy of networked evolutionary games, IEEE Transactions on Neural Networks and Learning Systems, 2014, 25(7): 1335–1345.
Author information
Authors and Affiliations
Corresponding author
Additional information
This research was supported by the National Natural Science Foundation of China under Grant No. 61374065, and the Research Fund for the Taishan Scholar Project of Shandong Province.
This paper was recommended for publication by Editor XIE Lihua.
Rights and permissions
About this article
Cite this article
Guo, P., Wang, Y. The computation of Nash equilibrium in fashion games via semi-tensor product method. J Syst Sci Complex 29, 881–896 (2016). https://doi.org/10.1007/s11424-016-5057-9
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11424-016-5057-9