Abstract
Development of simulation approach to study social processes is strongly correlated to progress in computer technology. The increasing computational power of modern computers and increasing possibilities of graphic representation allows simulation with more adequate metaphors and analogies to real processes. One of the leading branches of economic analysis applying the simulation approach is evolutionary economics, but even within this field of research the importance of simulation is not uniform. The following section of the article deals with the use of the simulation approach in analysing and understanding real phenomena. Problems of model testing and validation are also described in this section. In the third section a short analysis of the role played by simulation in evolutionary economics is presented. A variety of simulation approaches to analysing economic development are presented in the fourth section. Two main streams of models, namely those rooted in Schumpeterians tradition and the agent-based approach, are characterized. Working out a so-called common platform (i.e., software which would be able to model economic development and can be used both by economists skilled in computer programming and those not familiar with it) is being pursued at the moment. In the last section three propositions about such common platform are briefly discussed.
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Kwaśnicki, W. (1999). Evolutionary Economics and Simulation. In: Brenner, T. (eds) Computational Techniques for Modelling Learning in Economics. Advances in Computational Economics, vol 11. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5029-7_1
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DOI: https://doi.org/10.1007/978-1-4615-5029-7_1
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