Evolutionarymodelingmethodsineconomics (With emphasis on the common elements of them) (in Persian)

Mansour Khalili Araghi () and Majid Mirzaee Ghazani ()
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Mansour Khalili Araghi: Iran
Majid Mirzaee Ghazani: Iran

The Journal of Planning and Budgeting (٠صلنامه برنامه ریزی و بودجه), 2014, vol. 19, issue 2, 47-72

Abstract: In this paper we have tried mention to some sort of thewell-known evolutionary modeling approaches in economic territory such as Multi Agent simulations, Evolutionary Computation and Evolutionary Game Theory. As it has been mentioned in the paper, in recent years, the number of Evolutionary contributions applied to Multi-Agent models increased remarkably. However until now there is no consensus for creation of a common rule for specification of analytical model in this regard. Besides taking advantage of Multi Agent models in analytical methods, an increasing usage of evolutionary algorithms to learn the behavior of population is clearly visible. These algorithms have been used primarily through applying of variation operators (Mutation and Crossover). Finally, the evolutionary Game Theory which studies the strategic behavior of players with constraint of bounded rationality has been presented. In evolutionary Game Theory, replicator dynamics are considered as a prominent type of dynamic models for evaluating the behavior of population. Other forms of dynamics such as best responses and imitation have been applied less than replicator dynamics.

Keywords: Evolutionary economics; Diversity; Bounded rationality; Multi Agent simulation; Evolutionary Game Theory. (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:auv:jipbud:v:19:y:2014:i:2:p:47-72

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