A Frame for Modelling Collective Learning Behaviors Based on Cellular Automata
In this paper, we present a general frame for mod-elling and simulating collective learning behaviors of hu-man groups with interactions. In our bottom-up method,we assume that individuals learn to make their decisions repeatedly, following their studies on the performances of their former behaviors. Behavior of each individual is driven by temporal situation of the system and individuals anticipation with respect to fitture decisions of other individuals, which can be calculated from individuals properties, such as strategy-sets, profit functions, beliefs about history information and future situation, and so on. Some learning rules, e.g. Reinforcement learning, are also discussed for updating individuals properties during evolution of the system. Celhdar Automata is employed in the frame to compute and observe the visualized long-term behaviors of the system at higher group level. Experiments show that the modelled collective systems with certain learning schemes can reach some balanced state under restrictive conditions. Our framework is helpful for study of modelling and simulating social dynamic systems, and researching higher-level behaviors of collective system with learning techniques.
Ming-Yong Pang
Department of Educational Technology,Nanjing Normal University No.122,Ninghai ve.,Nanjing 210097,Jiangsu,P.R.China
国际会议
厦门
英文
238-243
2008-12-12（万方平台首次上网日期，不代表论文的发表时间）