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THE MECHANISTIC-LOGICAL SCIENCE VS. THE PHENOMENOLOGICAL-SEMIOTIC COGNITION: A FALSE DILEMMA

机译:力学逻辑科学VS。现象学-符号学认知:一个虚假的困境

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Without refusing the conflict between the terms of the dilemma, the thesis is that both positions, the mechanistic-logical of science and the phenomenological-semiotic of cognition, are necessary for a complete foundation of science and technology - including information science and technology since information is the prime matter of rules and laws.rnThe thesis is illustrated by the causal law proposed to solve the causal problem by Einstein. It is formulated with reference to systems, according the senses of scientific law - objective, nomological, nomopragmatic and metanomological -, and codifies the multiplicity of meanings associated to the diversity of phenomena by the Aristotelian causes - efficient, formal, material and final.rnRegarded as data to mean or contextualize in the framework of the causal law, information is codified by the four genders of causes and may be referred to the organization, structure, interactions, and changes of system. The operative definition of information as unity of measuring to different scales makes possible calculations and computations. Thus, for example, information may refer to perturbations, properties of components, or results at system level, or systems at legal level. This concept of information makes possible to solve problems, to design and evaluate systems, answering questions about quantity and quality of interactions necessary for producing certain changes in systems and types of systems.rnThe causal law provides a complete system of codification for information, and retrieves the search of true knowledge in a relativistic context for information science and technology. Regarded as law of information, the causal law is on the base of any treatment of information to found its science and technology.rnAdditionally, two resources of Cognitive Sciences, a logical-semantic organization (LSO) and a simbolic representation system (SRS) are applied for reading the causal law as a case of synthesis between the two positions.
机译:在不拒绝困境的术语之间发生冲突的情况下,本文认为,科学的机械逻辑学和认知的现象学-符号学这两个立场对于完整的科学技术基础(包括信息科学技术)都是必不可少的这是规则和法律的首要问题。本文用爱因斯坦为解决因果问题而提出的因果律来说明。它是根据客观,法理,名词语用学和形而上学等科学规律的意义参照系统制定的,并通过亚里士多德的原因(有效,形式,实质和最终)编纂了与现象多样性相关的多种含义。作为在因果关系法框架中表示数据或进行情境化的数据,信息由原因的四个性别分类,可以指系统的组织,结构,相互作用和变化。信息的有效定义是对不同比例尺进行度量的统一性,因此可以进行计算和计算。因此,例如,信息可能涉及扰动,组件的属性或系统级别的结果,或法律级别的系统。信息的这种概念使得解决问题,设计和评估系统,回答有关产生系统和系统类型的某些变化所必需的交互作用的数量和质量的问题成为可能。因果法则为信息的编码提供了一个完整的系统,并可以进行检索。在相对论背景下寻找信息科学和技术的真实知识。因果法被认为是信息法,它是在对信息进行任何处理的基础上建立其科学技术的。此外,认知科学的两个资源是逻辑语义组织(LSO)和符号表示系统(SRS)。申请阅读因果律,作为两个立场之间综合的案例。

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