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
A model of learning and adaptation is used to analyze the coevolution of strategies in the repeated ...
htmlabstractReal-life negotiations typically involve multiple parties with different preferences for...
The scientific environment of this work is complex systems, self-organized systems and their informa...
International audienceIn this paper, we deal with some specific domains of applications to game theo...
International audienceIn this paper, we deal with some specific domains of applications to game theo...
Summary. In this paper, we deal with some specific domains of applications to game theory. This is o...
In this chapter, we deal with some specific domains of applications to game theory. This is one of t...
International audienceIn this paper, we deal with some specific domains of applications to game theo...
This paper presents the use of automata with multiplicities for the modelization of agent behaviours...
International audienceThis paper presents the use of automata with multiplicities for the modelizati...
International audienceThis paper presents the use of automata with multiplicities for the modelizati...
International audienceThis paper presents the use of automata with multiplicities for the modelizati...
International audienceIn this paper, we deal with some multiagent systems modelling, based on popula...
Interaction among autonomous decision-makers is usually modelled in economics in game-theoretic term...
nteraction among autonomous decision-makers is usually modelled in economics in game-theoretic terms...
A model of learning and adaptation is used to analyze the coevolution of strategies in the repeated ...
htmlabstractReal-life negotiations typically involve multiple parties with different preferences for...
The scientific environment of this work is complex systems, self-organized systems and their informa...
International audienceIn this paper, we deal with some specific domains of applications to game theo...
International audienceIn this paper, we deal with some specific domains of applications to game theo...
Summary. In this paper, we deal with some specific domains of applications to game theory. This is o...
In this chapter, we deal with some specific domains of applications to game theory. This is one of t...
International audienceIn this paper, we deal with some specific domains of applications to game theo...
This paper presents the use of automata with multiplicities for the modelization of agent behaviours...
International audienceThis paper presents the use of automata with multiplicities for the modelizati...
International audienceThis paper presents the use of automata with multiplicities for the modelizati...
International audienceThis paper presents the use of automata with multiplicities for the modelizati...
International audienceIn this paper, we deal with some multiagent systems modelling, based on popula...
Interaction among autonomous decision-makers is usually modelled in economics in game-theoretic term...
nteraction among autonomous decision-makers is usually modelled in economics in game-theoretic terms...
A model of learning and adaptation is used to analyze the coevolution of strategies in the repeated ...
htmlabstractReal-life negotiations typically involve multiple parties with different preferences for...
The scientific environment of this work is complex systems, self-organized systems and their informa...