首页> 外文会议>World congress of the systems sciences;Annual conference of International Society for the Systems Sciences >THE MECHANISTIC-LOGICAL SCIENCE VS. THE PHENOMENOLOGICAL-SEMIOTIC COGNITION: A FALSE DILEMMA
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THE MECHANISTIC-LOGICAL SCIENCE VS. THE PHENOMENOLOGICAL-SEMIOTIC COGNITION: A FALSE DILEMMA

机译:机械逻辑科学与 现象学 - 符号学认知:假困境

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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. The 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. Regarded 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. The 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. Additionally, 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:在不拒绝困境之间的冲突之间的冲突,论点是,科学和技术完全基础,科学和认知现象逻辑的职位,科学和现象逻辑 - 包括信息科学和技术是规则和法律的主要问题。本文通过提议解决爱因斯坦的因果问题的因果法说明了论文。根据科学法的感官,根据科学法,鉴别,编制和甲型组织的感官制定了它,并编制了亚里士多瑞的现象的多样性含义 - 高效,正式,材料和最终。被视为数据到因果法框架中的均值或上下文化,信息由四个原因的补充编制,并且可以称为组织,结构,交互和系统的变化。作为测量到不同尺度的单位的信息的操作定义使得计算和计算成为可能。因此,例如,信息可以参考扰动,组件的属性,或者在系统级别的结果,或者在法律水平处产生系统。这种信息的概念可以解决问题,设计和评估系统,回答有关在系统和类型的系统类型和类型中产生某些变化所需的交互的数量和质量的问题。因果法提供了一个完整的信息编纂系统,并检索信息科学和技术的相对论背景下的真实知识。被视为信息法,因果法是关于任何待遇信息的基础,以发现其科学和技术。另外,两个认知科学资源,逻辑语义组织(LSO)和辛栓表示系统(SRS)被应用用于读取因果法作为两个位置之间合成的情况。

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