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信息论和它的中心概念熵(系统不确定性)通常被用来发展和支持心理学理论(如米勒,1951,鲁斯1960,布伦特1984年等)。由于信息论:(1)支持了主流心理学理论;(2)它通过把心理学与生物学适应和生存原理结合起来进行探讨,从而使心理学理论可以更广泛地得到解释,因此,它普遍为人们所接受。不言而喻,对物理学中的热力学理论如信息论的应用.已经引起人们的广泛注意。 (一) 熵理论概述本文运用的理论框架和检验步骤,都潜在地依赖于熵的概念。实际上熵的概念是由热力学第二定律发展而来的(波尔兹曼1872),熵被定义为系统混乱或无序的量度.热力学第二定律的数学表述为:在一个孤立系统中,熵单向增加,直至达最高水平,一个系统只有在开放的系统环境下,才能够避免这种朝熵最大化
Information theory and its central concept of entropy (system uncertainty) are often used to develop and support theories of psychology (eg Miller, 1951, Rus 1960, Brent 1984, etc.). Because of information theory: (1) it supports the mainstream psychology theory; (2) it makes the theory of psychology more widely interpretable by combining psychology with the principles of biological adaptation and survival, so it is generally People accept it. It goes without saying that the application of thermodynamics theory in physics, such as information theory, has aroused widespread attention. (A) Overview of Entropy Theory The theoretical framework and test steps used in this paper are potentially dependent on the concept of entropy. In fact, the concept of entropy was developed from the second law of thermodynamics (Boltzmann 1872), and entropy is defined as a measure of systematic chaos or chaos.The mathematical formulation of the second law of thermodynamics is that in an isolated system, Entropy increases unidirectionally until it reaches the highest level, and a system can only avoid this maximization of entropy if only in an open system environment