Abstract
In this paper, we deal with some specific domains of applications to game theory. This is one of the major class of models in the new approaches of modelling in the economic domain. For that, we use genetic automata which allow to buid adaptive strategies for the players. We explain how the automata-based formalism proposed – matrix representation of automata with multiplicities – allows to define a semi-distance between the strategy behaviors. With that tools, we are able to generate an automatic processus to compute emergent systems of entities whose behaviors are represented by these genetic automata.
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Ghnemat, R., Oqeili, S., Bertelle, C., Duchamp, G.H. (2006). Automata-Based Adaptive Behavior for Economic Modelling Using Game Theory. In: Aziz-Alaoui, M., Bertelle, C. (eds) Emergent Properties in Natural and Artificial Dynamical Systems. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-34824-7_9
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DOI: https://doi.org/10.1007/3-540-34824-7_9
Publisher Name: Springer, Berlin, Heidelberg
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