多分辨率符号系统

A. Meystel
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引用次数: 2

摘要

事实证明,如果不参考符号学,智能系统就不能被完整和一致地描述。符号学是一门专注于维护符号和符号系统的学科,以便它们能够传达预期的意义。符号学不同于数学和数理逻辑,它更关注符号基础的运作。符号学不仅在问题解决过程的开始和结束,而且在它的所有阶段都进行这种操作。在智能系统中,符号学闭包的一个重要特性是作为验证其功能一致性的范式。如果一个符号在解释中显示出任何变化,这将被记录下来,并在移位的解释下继续进行所需的转换。本文概述了构建一个用于解释和控制的语用完整、逻辑一致和数学形式化的符号学系统所需的一组理论前提。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiresolutional semiotic systems
It turns out that intelligent systems cannot be completely and consistently described without reference to semiotics. Semiotics is a discipline that focuses upon maintenance of the systems of signs and symbols so that they could convey the intended meaning. Semiotics differs from mathematics and mathematical logic by its close attention to the operation of symbol grounding. Semiotics conducts this operation not only in the beginning and in the end of the problem solving process but at all stages of it. An important property of semiotic closure holds in the intelligent system as the paradigm for verification of consistency of its functioning. If a symbol demonstrates any changes in interpretation, this is recorded, and the required transformations continue under shifted interpretation. This paper outlines the set of theoretical premises required for constructing a pragmatically complete, logically consistent, and mathematically formalized semiotic system for interpretation and control.
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