Foundations of complexity economics

被引:148
作者
Arthur, W. Brian [1 ,2 ,3 ]
机构
[1] Santa Fe Inst, Santa Fe, NM 87501 USA
[2] PARC, Intelligent Syst Lab, Palo Alto, CA 94304 USA
[3] Stellenbosch Inst Adv Study, Stellenbosch, South Africa
关键词
INCREASING RETURNS; SYSTEMS; MODEL; TECHNOLOGY; EMERGENCE; DYNAMICS; TIME;
D O I
10.1038/s42254-020-00273-3
中图分类号
O59 [应用物理学];
学科分类号
摘要
Complexity economics relaxes the assumptions of neoclassical economics to assume that agents differ, that they have imperfect information about other agents and they must, therefore, try to make sense of the situation they face. This Perspective sketches the ideas of complexity economics and describes how it links to complexity science more broadly. Conventional, neoclassical economics assumes perfectly rational agents (firms, consumers, investors) who face well-defined problems and arrive at optimal behaviour consistent with - in equilibrium with - the overall outcome caused by this behaviour. This rational, equilibrium system produces an elegant economics, but is restrictive and often unrealistic. Complexity economics relaxes these assumptions. It assumes that agents differ, that they have imperfect information about other agents and must, therefore, try to make sense of the situation they face. Agents explore, react and constantly change their actions and strategies in response to the outcome they mutually create. The resulting outcome may not be in equilibrium and may display patterns and emergent phenomena not visible to equilibrium analysis. The economy becomes something not given and existing but constantly forming from a developing set of actions, strategies and beliefs - something not mechanistic, static, timeless and perfect but organic, always creating itself, alive and full of messy vitality.
引用
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页码:136 / 145
页数:10
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