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Interdisciplinary Matrix in Economics: Two Applications to the Transition from Socialism to Capitalism

机译:经济学的跨学科矩阵:从社会主义向资本主义过渡的两种应用

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The 7-fold interdisciplinary matrix is introduced. This integrated methodological point of view is original, although it is based on ideas of others in various ways. The name for this new approach draws on the Kuhnian notion of a disciplinary matrix. There are four components of the Kuhnian matrix on which the existence of scientific communities hinges: symbolic generalizations, models, values, and exemplars. In this context the term "paradigm " should refer to exemplars. The interdisciplinary matrix is composed of seven elements: cybernetics! catastrophe theory, fractal geometry, deterministic chaos, artificial intelligence, theory of complexity, and humanistic values. Scientific developments have recentlv brought substantial changes in the structure of scientific communities. Transferability of ideas and thoughts contributed to the creation of scientific communities, which unite representatives of various professions. When researching into certain phenomena we no longer need to develop theories for them from scratch, as we can draw on the achievements in other disciplines. Two examples of the employment of the interdisciplinary matrix in macroeconomics are elaborated here: the investment cycle model in socialist economy, and the model of economic transformation based on chaotic hysteresis.
机译:介绍了七折交叉学科矩阵。这种综合的方法论观点是原创的,尽管它以各种方式基于他人的观点。这种新方法的名称借鉴了学科矩阵的库恩概念。科学共同体的存在取决于库恩矩阵的四个组成部分:符号概括,模型,价值和范例。在这种情况下,术语“范式”应指示例。跨学科矩阵由七个要素组成:控制论!突变理论,分形几何,确定性混沌,人工智能,复杂性理论和人文价值。最近科学的发展给科学共同体的结构带来了巨大的变化。思想和思想的可传递性促进了科学界的创建,科学界团结了各个专业的代表。在研究某些现象时,我们不再需要从头开始为它们开发理论,因为我们可以借鉴其他学科的成就。在此阐述了在宏观经济学中运用跨学科矩阵的两个例子:社会主义经济中的投资周期模型和基于混沌滞后的经济转型模型。

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