Automata-based Adaptive Behavior for Economical Modelling Using Game Theory

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dc.creatorGhnemat, Rawan
dc.creatorOqeili, Saleh
dc.creatorBertelle, Cyrille
dc.creatorDuchamp, Gérard Henry Edmond
dc.date2007-12-17
dc.date.accessioned2026-07-07T08:49:38Z
dc.date.available2026-07-07T08:49:38Z
dc.descriptionIn this chapter, 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 build adaptive strategies for the players. We explain how the automata-based formalism proposed - matrix representation of automata with multiplicities - allows to define 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.
dc.identifierhttps://arxiv.org/abs/0712.2644
dc.identifierhttp://arxiv.org/abs/0712.2644
dc.identifierEmergent Properties in Natural and Artificial Dynamical Systems, Springer (Ed.) (2006) 171-183
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/144368
dc.subjectComputer Science and Game Theory
dc.subjectComputational Complexity
dc.titleAutomata-based Adaptive Behavior for Economical Modelling Using Game Theory
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