知识创新随机过程最大熵模型  

The Model on Maximum Entropy of Knowledge Creating Stochastic Process

作　　者：陈欣[1] 和金生[1] 董丽平[1] 

机构地区：[1]天津大学管理学院

出　　处：《中国工程科学》2004年第12期43-46,共4页Strategic Study of CAE

基　　金：国家自然科学基金资助项目 (70 2 72 0 44 )

摘　　要：根据创新知识的形成受已有相关知识影响的假设 ,综合运用概率统计、最优化、最大熵原理构建了知识创新随机过程最大熵模型 ,给出了以已有知识x∈X为约束的新知识 y∈Y的条件概率p(y|x)。模型具有随机性与因果性对立统一的特点。On the basis of the hypothesis that the existing relevant knowledge influences the formation of the new knowledge, this thesis sets up the maximum entropy fundamental model of the stochastic prosess of knowledge innovation by applying the probability & statistics theory, the optimization theory and the maximum entropy principle comprehensively, and puts forward the conditional probability P(y|x) of the new knowledge y∈Y which is restrained by the existing knowledge x∈X. This model posesses such character that the randomness and the causality are unity of opposites

关 键 词：最大熵 知识创新 条件熵 随机过程 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]