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The desirable organizational structure for evolutionary firms in static landscapes

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  • Nicolas Garrido

Abstract

In addition to the common analysis of the Kauffman NK model where the value of K and the structure of interaction are given, the aim of this paper is to study what the values of these two parameters would be if they were endogenized. Thus, a model is proposed where firms and business schools coordinate to search for high peaks in their respective landscapes using evolutionary algorithms. The main result coming from the analysis of the model is that agents, using evolutionary algorithms, attempt to simplify the problems of coordination and this, over time, produces the existence in the economy of agents using many different strategies.
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  • Nicolas Garrido, 2003. "The desirable organizational structure for evolutionary firms in static landscapes," Department of Economics Working Papers 0305, Department of Economics, University of Trento, Italia.
    • Handle: RePEc:trn:utwpde:0305
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    Cited by:

    1. Khraisha, Tamer, 2020. "Complex economic problems and fitness landscapes: Assessment and methodological perspectives," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 390-407.
    2. Sylvie Geisendorf, 2010. "Searching NK Fitness Landscapes: On the Trade Off Between Speed and Quality in Complex Problem Solving," Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 395-406, April.
    3. Matteo Ploner, 2003. "The financial markets and wealth effects on consumption - an experimental analysis," Department of Economics Working Papers 0306, Department of Economics, University of Trento, Italia.

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