Automata-based adaptive behavior for economic modeling using game theory
Multiagent Systems
2007-12-17 v1 Discrete Mathematics
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.
Cite
@article{arxiv.cs/0510089,
title = {Automata-based adaptive behavior for economic modeling using game theory},
author = {Rawan Ghnemat and Khalaf Khatatneh and Saleh Oqeili and Cyrille Bertelle and Gérard Henry Edmond Duchamp},
journal= {arXiv preprint arXiv:cs/0510089},
year = {2007}
}