HanZhangang多个体集群运动中信息共享与对称破缺.pdf

Information Sharing and Symmetry Breaking in Multi- Agent Systems Zhangang Han zhan@ CAS Summer School School of Systems Science Beijing Normal University July 12, 2013 Complexity Feature  Definition of Complexity Research varies  Features Many elements interact in a system Nonlinear Heterogeneous vs. Homogeneous Cooperation vs. competition Overall considerations Symmetry breaking Decision making facing ever changing environment Global Pattern Formation and Ethnic/Cultural Violence May Lim, Richard Metzler, Yaneer Bar-Yam New England Complex Systems Institute Science 317, 1540 (Sep. 14, 2007) Former Yugoslavia Fig. 2. (A) Census data from 1991 shown here in map form were converted into a spatial representation and used in an agent-based simulation shown in (B). Our prediction of populations likely to be in conflict with neighboring groups [red overlay, (C) and (D)] agrees well with the location of cities reported as sites of major fights and massacres [yellow dots, (D)]. India Fig. 3. (A and B) Spatial representation of Indian census data from 2001 of six indicated groups was converted into an agent-based simulation shown in (C). Our prediction of conflict-prone areas [red areas in (D)] agrees with states where major ethnic violence has been reported [red areas in (E)] between 1999 and 2002, with the red shading intensity corresponding to the rank order of states by number of incidents. Stick pulling experiment  Ling Li, Alcherio Martinoli, and Yaser S. Abu-Mostafa, Emergent Specialization in Swarm Systems, H. Yin et al. (Eds.): IDEAL 2002, LNCS 2412, pp. 261–266.  M