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首页> 外文期刊>Journal of Mathematical Modelling and Application >Mathematical Modeling: Cognitive, Pedagogical, Historical And Political Dimensions
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Mathematical Modeling: Cognitive, Pedagogical, Historical And Political Dimensions

机译:数学建模:认知,教学,历史和政治层面

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The book by Steven Mithen became a basic reference on human evolution. The introductory words of Mithen encouraged me to write a paper on Mathematical Modeling. Although having practiced Mathematical Modeling only with situations which are not complex, I believe my paper contributes to the foundations of the field. In the late sixties I became interested in the emerging field of Mathematical Modeling. I practiced some easy modeling and I supervised a number of dissertations, dealing with more complex situations. This was an exciting experience and I immersed myself in the relevant literature of the field. Although I never got interested in practicing more advanced modeling, the emergence of new fields of research after the sixties convinced me of the central importance of Mathematical Modeling in explaining knowledge. The objective of this paper is to show some of this centrality as I see it. Particularly, I will try to explain why I do recognize Mathematical Modeling as a strategy per excellence of human beings for generating knowledge and for learning. My exposition is based on assuming some concepts. First of all, what is knowledge? Knowledge is one of these concepts for which we do not have a definition and philosophers take for granted that the reader will understand what they mean when they refer to knowledge. I do the same. But I distinguish individual knowledge and general, or simply, knowledge . Individual knowledge is generated by each individual. Socialization leads individuals to acquiring and learning knowledge generated by other individuals, and this process is in a symbiotic relation with the continuous generation of new knowledge by the individual. Socialization depends on communication in the broad sense. Language, as the main form of communication of the human species, allows for sharing, transmitting and diffusing the complex of experiences and explanations accumulated by mankind in the course of its history, since early hominids through the modern homo sapiens sapiens. This leads to general knowledge, or simply knowledge .
机译:史蒂文·米森(Steven Mithen)的书成为人类进化的基本参考书。 Mithen的开场白鼓励我写一篇关于数学建模的论文。尽管仅在不复杂的情况下练习了数学建模,但我相信我的论文为该领域的基础做出了贡献。在六十年代后期,我对新兴的数学建模领域产生了兴趣。我练习了一些简单的建模,并指导了许多论文,处理了更复杂的情况。这是一次激动人心的经历,我沉浸在该领域的相关文献中。尽管我从未对实践更高级的建模感兴趣,但是六十年代以后出现的新研究领域使我相信数学建模在解释知识方面的核心重要性。本文的目的是展示我所看到的这种中心性。特别是,我将尝试解释为什么我承认数学建模是人类卓越成就知识和学习的一种策略。我的阐述是基于一些概念。首先,什么是知识?知识是我们没有定义的这些概念之一,哲学家认为读者在理解知识时会理解它们的含义,这是理所当然的。我也一样。但是我将个人知识与一般知识或简单知识区分开。个人知识是由每个人产生的。社会化导致个人获取和学习其他人产生的知识,并且此过程与个人不断产生新知识具有共生关系。社会化取决于广义上的交流。语言是人类最主要的交流方式,它允许共享,传播和传播人类在人类历史上积累的经验和解释的复杂性,因为人类早先是通过现代人类而生的。这导致了一般知识,或者仅仅是知识。

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