Constructionism as a style in logic and the problem of Chinese logic

Abstract

The problem of Chinese logic raises many questions of relevance not only to the history of logic and forms of logical thinking. It involves difficult problems of epistemology and philosophy of science, brings to the contemporary debate about the nature and prospects of constructivism. The first acquaintance of Western European scientific world with the Chinese culture, the structure of the language and the specifics of thinking has led to insights, which rather reflected the Europeans projecting their own mentality to the Chinese mentality than adequate understanding different styles of thinking. In the relation to The Chinese denied the existence of logic, and thus a logic of rationality, which, in turn, was conceived as the reflexive criterion of scientific theorizing.The article discusses the Chinese way of thinking and logic in the context of current discussions on constructivism, projective activity and the phenomenological semantics. The conclusion about natural cognitive foundation of genetically-constructive method in scientific thinking: abstract thinking rational type displays a higher level of basic cognitive ability of consciousness, developing and constructing a world of images. The underlying cognitive ability of the subject design in the course of evolution of thinking is specifically developed on the basis of alphabetic and hieroglyphic languages types. Comparison of Greek and Chinese mentalities reveals the general features of scientific thinking of ancient times: the visual-spatial construction, an algorithmically-defined classification scheme, the allocation of minimum samples, the heuristic role of the beginning in generating, self-similar structures.Stand out ways for visual design, had practical significance. Conclusions about expansion understanding of deduction in connection with mathematical modeling. Chinese algorithmic thinking is seen in a new light, meeting the latest trends of technological science and mathematical modeling.