Automata-based adaptive behavior for economic modeling using game theory

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dc.creatorGhnemat, Rawan
dc.creatorKhatatneh, Khalaf
dc.creatorOqeili, Saleh
dc.creatorBertelle, Cyrille
dc.creatorDuchamp, Gérard Henry Edmond
dc.date2005-10-30
dc.date.accessioned2026-07-07T08:49:23Z
dc.date.available2026-07-07T08:49:23Z
dc.descriptionIn 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.
dc.identifierhttps://arxiv.org/abs/cs/0510089
dc.identifierhttp://arxiv.org/abs/cs/0510089
dc.identifierDans EPNADS'05 within ECCS'05 - Emergent Properties in Natural and Artificial Dynamical Systems, Paris : France (2005)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/144278
dc.subjectMultiagent Systems
dc.subjectDiscrete Mathematics
dc.titleAutomata-based adaptive behavior for economic modeling using game theory
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