On Self-adjustment of Social Conventions to Small Perturbations
JIANG Yi-Chuan
1Research Center for Learning Science, Southeast University, Nanjing 2100962State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190
On Self-adjustment of Social Conventions to Small Perturbations
JIANG Yi-Chuan
1Research Center for Learning Science, Southeast University, Nanjing 2100962State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190
摘要We present a model for self-adjustment of social conventions to small perturbations, and investigate how perturbations can influence the convergence of social convention in different situations. The experimental results show that the sensitivity of social conventions is determined by not only the perturbations themselves but also the agent adjustment functions for the perturbations; and social conventions are more sensitive to the outlier agent number than to the strategy fluctuation magnitudes and localities of perturbations.
Abstract:We present a model for self-adjustment of social conventions to small perturbations, and investigate how perturbations can influence the convergence of social convention in different situations. The experimental results show that the sensitivity of social conventions is determined by not only the perturbations themselves but also the agent adjustment functions for the perturbations; and social conventions are more sensitive to the outlier agent number than to the strategy fluctuation magnitudes and localities of perturbations.
(Computational methods in statistical physics and nonlinear dynamics)
引用本文:
JIANG Yi-Chuan. On Self-adjustment of Social Conventions to Small Perturbations[J]. 中国物理快报, 2008, 25(12): 4215-4218.
JIANG Yi-Chuan. On Self-adjustment of Social Conventions to Small Perturbations. Chin. Phys. Lett., 2008, 25(12): 4215-4218.
[1] Kittock J E 1993 Proceedings of the 1993 ComplexSystems Summer School, Santa Fe Institute Studies in the Sciences ofComplexity Lecture (Santa Fe Institute) vol VI [2] Walker A and Wooldridge M 1995 Proceedings of theFirst International Conference on Multi-Agent Systems (SanFrancisco, CA, 12--14 June 1995) [3] Shoham Y and Tennenholtz M 1997 ArtificialIntelligence 94 139 [4] Delgado J 2002 Artificial Intelligence 141 171 [5] Li C H, Li M Q and Kou J S 2002 Proceedings of 2002International Conference on Machine Learning and Cybernetics(Beijing, 4--5 November 2002) [6] Jiang Y C and Jiang J C 2005 Expert Systems withApplications 2 372 [7] Yang W, Cao L, Wang X F and Li X 2006 Phys. Rev. E74 037101 [8] David J and Victor L 2002 AAAI Spring Symposium edBarley M and Guesgen H (Menlo Park, CA: AAAI Press) vol TRSS-02-07 [9] Reynolds C W 1987 Computer Graphics 21 25 [10] Jadbabaie A, Lin J and Morse S 2003 IEEE Trans.Autom. Control 48 988 [11] Lin Z, Broucke M and Francis B 2004 IEEE Trans.Autom. Control 49 622 [12] Hogg L M and Jennings N R 2001 IEEE Trans. Systems,Man and Cybernetics A: Systems and Humans 31 381 [13] Mamei M and Zambonelli F 2006 Field-basedCoordination for Pervasive Multiagent Systems (Heidelberg:Springer) [14] Jiang Y and Ishida T 2007 Proceedings of the 20thInternational Joint Conference on Artificial Intelligence(IJCAI-07) (Hyderabad, India, 6--12 January 2007)