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A meaning based information theory - informalogical space: Basic concepts and convergence of information sequences

机译:基于含义的信息理论-信息空间:基本概念和信息序列的融合

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摘要

This paper presents an information theory that is based on meanings and relationships between information It first introduces the foundation of our approach, it binary relation contain between two pieces of information, based on inference between the two pieces of information Then, based on the contain relation, it introduces two basic operations union and intersection on a collection (i.e., set) of information. This paper lays the foundation of our approach by introducing the core concept, informalogical space. An informalogical space is a collection of information that satisfies certain conditions represented in terms of the contain relation, and the union and intersection operations. An informalogical space is similar to a topological space in a symbolic sense, but is different in nature This paper also introduces an information net in an informalogical space. An information net is a generalization of information sequence, just as a net is a generalization of sequence in general topology This paper builds a convergence theory for information nets that is similar in a symbolic sense to the Moore-Smith convergence theory in general topology. Then, this paper applies the results for information nets to information sequences.
机译:本文提出了一种基于信息之间的含义和关系的信息理论。首先介绍了我们的方法的基础,即基于两条信息之间的推论,将两条信息之间的二进制关系包含在内,然后基于包含关系,它在信息集合(即集合)上引入了两个基本操作并集和交集。本文通过介绍核心概念(信息空间)奠定了我们方法的基础。信息空间是满足包含条件以及联合和相交操作表示的某些条件的信息的集合。信息空间在符号意义上类似于拓扑空间,但本质上有所不同。本文还介绍了信息空间中的信息网络。信息网络是信息序列的一般化,就像网络是一般拓扑中的序列一般化一样。本文建立了信息网络的收敛理论,该理论在符号意义上类似于一般拓扑中的Moore-Smith收敛理论。然后,本文将信息网络的结果应用于信息序列。

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