经济学中的创造性演变

IF 1.3 4区 经济学 Q3 ECONOMICS
Abigail Devereaux, Roger Koppl, Stuart Kauffman
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引用次数: 0

摘要

我们以相邻可能性理论为基础,对经济学中的创造性演化进行了表述。我们首先为经济理论化引入了一个认识论框架,以应对可能性空间的不可知性和不可列表性。从这一框架出发,我们讨论了知识在创造性演化系统中的应用,并得出了四个主要结果:本地知识本身就是一种穿越邻近可能的运动机制;所有行动都是创业行动;因果关系是模糊的;以及个人可以同意不同意。然后,我们将这些结果应用于创造性发展系统中的决策、创新以及机构和公共资源的出现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creative evolution in economics

We develop a representation of creative evolution in economics based on the theory of the adjacent possible. We start by introducing an epistemological framework for economic theorizing that copes with unknowability and the unlistability of possibility spaces. From this framework, we discuss the use of knowledge in creatively evolving systems and derive four main results: that local knowledge is itself a mechanism of movement through the adjacent possible; that all action is entrepreneurial action; that causality is ambiguous; and that individuals can agree to disagree. We then apply these results to decision-making, innovation, and the emergence of institutions and commons in creatively evolving systems.

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来源期刊
CiteScore
3.60
自引率
5.60%
发文量
39
期刊介绍: The journal aims to provide an international forum for a new approach to economics. Following the tradition of Joseph A. Schumpeter, it is designed to focus on original research with an evolutionary conception of the economy. The journal will publish articles with a strong emphasis on dynamics, changing structures (including technologies, institutions, beliefs and behaviours) and disequilibrium processes with an evolutionary perspective (innovation, selection, imitation, etc.). It favours interdisciplinary analysis and is devoted to theoretical, methodological and applied work. Research areas include: industrial dynamics; multi-sectoral and cross-country studies of productivity; innovations and new technologies; dynamic competition and structural change in a national and international context; causes and effects of technological, political and social changes; cyclic processes in economic evolution; the role of governments in a dynamic world; modelling complex dynamic economic systems; application of concepts, such as self-organization, bifurcation, and chaos theory to economics; evolutionary games. Officially cited as: J Evol Econ
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