Automata-based Adaptive Behavior for Economical Modelling Using Game Theory

Rawan Ghnemat (1) , Saleh Oqeili (2) , Cyrille Bertelle (1) , Gérard Henry Edmond Duchamp (3)

1 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
2 IT - Information Technology
3 LIPN - Laboratoire d'Informatique de Paris-Nord

In 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.

Mots clés: adaptive behavior; game theory; genetic automata; prisoner dilemma; emergent systems computing

Domaines: Informatique et théorie des jeux [cs.GT]; Complexité [cs.CC]

Rawan Ghnemat, Saleh Oqeili, Cyrille Bertelle, Gérard Henry Edmond Duchamp. Automata-based Adaptive Behavior for Economical Modelling Using Game Theory. Moulay A. Aziz-Alaoui et Cyrille Bertelle. Emergent Properties in Natural and Artificial Dynamical Systems, Springer, pp.171-183, 2006, Springer Complexity: Understanding Complex Systems series. ⟨hal-00198093⟩