Agent-Based Modelling: A Methodology for Neo-Schumpeterian Economics

作者: Giorgio Fagiolo , Andreas Pyka

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摘要: Modellers have had to wrestle with an unavoidable trade-off between the demand of a general theoretical approach and descriptive accuracy required model particular phenomenon. A new class simulation models has shown be well adapted this challenge, basically by shifting outwards trade-off: So-called agent-based (ABMs henceforth) are increasingly used for modelling socio-economic developments. Our paper deals requirements entailed necessity focus on qualitative developments, pattern formation, etc. which is generally highlighted within Neo-Schumpeterian Economics possibilities given ABMs.

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