Operant Conditioning Automata Model and a Bionic Autonomous Learning Process

摘要：

This paper presents an operant conditioning automata model (hereinafter referred to OCM), and designs a bionic autonomous learning method which can be used to describe and simulate a bionic autonomous learning process. The model can be considered as an active learning permitting to select a better action according to psychology behavior propensity, and the aim is to learn to find the optimal action finally. During the learning process, the system selects an action randomly according to the probability distribution of action selection, which is updated by the behavior propensity from the environment. We apply our model on skinner-pigeon experiment. In simulation, we confirmed that this model could successfully simulate operant conditioning.

关键词： Operant conditioning automata model Bionic autonomous learning process Probability distribution of action selection styling Skinner-pigeon ezperiment

作者: Xiaogang Ruan Yuanyuan Gao Hongjun Song

作者单位: Institute of Artificial Intelligence and Robotics Beijing University of Technology Beijing,China Institute of Autonomous Technology and Intelligent Control Beijing University of Technology Beijing,

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 1103-1107

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）