从Shannon信息论到认知信息论  

From Shannon′s information theory to cognitive information theory

作　　者：卢侃[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《哈尔滨工程大学学报》2011年第8期1063-1067,共5页Journal of Harbin Engineering University

基　　金：国家自然科学基金资助项目(50374018)

摘　　要：人类认知属于特定的信息活动,应该有其相应的数学理论.以Shannon信息论的熵理论为基础,探讨了认知的数学原理,指出认知活动其实就是从庞大的感知输入信号之中,以一次次减熵的数学运算获得外界事物的存在信息和其属性信息.并且还在事物性态的相互约束中,以减熵运算总结出事物间的规律信息.至于事物的状态信息,可以通过规律知识加以预测,并在当前适时的观察中,从象信息参数的变异里检测到.Human cognition is a kind of information activity,so it must have relevant mathematical theories of its own.Based on the entropy theory of Shannon＇s information theory,the fundamental mathematical principle of cognition was discussed.It was pointed out that cognition is a series of decreases in entropy through which the object information and information of regularities are obtained from enormous input perception signals.As for the state of information,it can be partly determined by prediction and partly detected in real observation of the variations in appearance information.

关 键 词：认知 减熵 象信息 物信息 规律知识信息 

分 类 号：G201[文化科学—传播学]