Collective Decision Analysis and Social Learning in Boolean Networks

摘要：

In this paper, the social learning in Boolean networks is investigated. Each agent makes its decision and takes an action from two possible actions in light of its private belief and the actions of neighbors. In the decision process based on the majority principle, if all agents do not receive private signal about the underlying state of the world, then all agents will make the same decision under mild assumptions but the collective decision is false with a positive probability. If at least one agent can receive private signal, then, with updating their private beliefs in a Bayesian way, all agents will make the same decision and the common decision is right with probability one, that is, the asymptotic learning is achieved almost surely.

关键词： Boolean networks decision making social learning semi-tensor product majority principle

作者: Youcheng Lou Yiguang Hong

作者单位: Key Laboratory of Systems and Control, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 3348-3353

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）