Heterogeneous belief formation method based on BP neural network
The BDI model has always been the focus of subject modeling research,which includes three kinds of thinking states of the rational subject: Belief,Desire and Intention.Belief is the cognition of agent to the world; it is a collection of environmental information,other agent information,and its own information that the agent has; and it is also the basis of the agents thinking activity.Due to differences in the individuals living environment and experience,the formation of heterogeneous beliefs is an important issue in the BDI model study.This article divides individual belief set into two parts: knowledge belief and achievable belief.This article proposes an overall framework for the formation of individual heterogeneity beliefs: First,the individuals knowledge experience is modeled,and the empirical knowledge is structured and quantified into binary propositions; then the BP neural network learn and memory propositions of different combinations to form heterogeneous beliefs.Experiments show that this method can simulate the heterogeneity of individual beliefs caused by the individuals own experience,and can realize the belief generation mechanism of gradual information flow,limited attention and heterogeneous priors.
Yifan Zhuang Hongwei Wang Xi Chen
School of Automation,Huazhong University of Science and Technology,Wuhan 430074,P.R.China;Image Proc School of Management,Huazhong University of Science and Technology,Wuhan 430074,P.R.China
国际会议
上海
英文
1-7
2018-10-12（万方平台首次上网日期，不代表论文的发表时间）