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原文連結
論文資訊
- 類型：已發表論文
- 日期：2015-09-29
摘要
We develop here a multi-智能體 model of the creation of knowledge (scientific progress or technological 演化) within a community of researchers devoted to such endeavors. In the proposed model, 智能體s learn in a physical-technological landscape, and weight is attached to both individual search and 社會 influence. We find that the combination of these two forces together with random experimentation can account for both i) marginal change, that is, periods of normal science or refinements on the performance of a given technology (and in which the community stays in the neighborhood of the current paradigm); and ii) radical change, which takes the form of scientific paradigm shifts (or discontinuities in the structure of performance of a technology) that is observed as a swift migration of the knowled
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