Peil J
Gegenbaurs Morphol Jahrb. 1984;130(6):835-44.
The recent approaches of generalization of "information" beyond the classical field of communication theory are characterized by explication and by first suggestions of generalized information theories. A critical assessment of the two books "Information I" and "Information II" written by H. VOLZ are given to what extent they may contribute to this discussion. Especially, the new definition of an all-embracing notion of information given in these books is criticized because it seems not to be suited as basis for a generalized theory. In contrast to this, the idea of information as a measure of structural differences between probability distributions in a state space is proposed for mathematical description of specific biological properties in general. In this view, the one distribution is that of the physical possibilities and the other is that which is connected with the realizations by the biological system. The latter consists of the states which are optimal for the function of the biological system. They are selected from the set of physically possible states. As abstract mathematical quantity the statistical entropy of a random experiment is used. Finally it is indicated that this information-theoretical description may contribute to the understanding of the connections between physics, cybernetics, and biology.
近期将“信息”概念拓展至经典通信理论领域之外的方法,其特点是对广义信息理论进行了阐释并给出了初步建议。本文对H. 沃尔兹所著的《信息I》和《信息II》这两本书进行了批判性评估,探讨它们在多大程度上有助于这一讨论。特别是,对这两本书中给出的包罗万象的信息概念的新定义提出了批评,因为它似乎不适合作为广义理论的基础。与此相反,本文提出将信息视为状态空间中概率分布之间结构差异的度量,以对一般的特定生物学特性进行数学描述。在这种观点下,一种分布是物理可能性的分布,另一种是与生物系统实现相关的分布。后者由对生物系统功能最优的状态组成。它们是从物理上可能的状态集合中挑选出来的。作为抽象的数学量,使用了随机实验的统计熵。最后指出,这种信息理论描述可能有助于理解物理学、控制论和生物学之间的联系。