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原文連結
論文資訊
- 類型：已發表論文
- 日期：2011
摘要
Generalized Darwinism and 自組織 have been positioned as competing frameworks for explaining processes of 經濟 and institutional change. Proponents of each view question the ontological validity and explanatory power of the other. This paper argues that 資訊 theory, rooted in modern 熱力學s, offers the potential to integrate these two perspectives in a common and rigorous framework. Both 演化 and 自組織 can be generalized as 計算 processes that can be applied to human 社會 phenomena. Under this view, 演化 is a process of algorithmic search through a combinatorial design space, while 自組織 is the result of non-zero sum gains from 資訊 aggregation. 演化 depends on the existence of self-organizing forces, and 演化 acts on designs for self-organizing structures. The framework yields insights on the role of agency and the
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