Economic markets are complex systems. They are characterized by a large and dynamic population of firms. To deal with this complexity, we propose an adaptive multiagent system which models a set of firms in competition with each other within a shared market. The firms are represented by agents; each firm is represented by an adaptive agent. We show the… (More)
Learning agents have to deal with the exploration-exploitation dilemma. The choice between exploration and exploitation is very difficult in dynamic systems ; in particular in large scale ones such as economic systems. Recent research shows that there is neither an optimal nor a unique solution for this problem. In this paper, we propose an adaptive… (More)
In this paper, we present a multi-agent system which models a set of firms in competition with each other within a shared market. We present a firm model and underline the limits of the economic models which represent only firms without considering the organizational forms. We then propose to integrate the organizational forms. We introduce a model of… (More)
To deal with dynamic changes of their environment, agents need an adaptive mechanism. This paper proposes an integration of classifier-based framework (named XCS) and an agent-based framework (named DIMA). The result of this integration is an adaptive-agent framework. It has been applied to simulate economic models.
Healthy sleep is essential for human well-being. Sleep analysis is a necessary process for the majority of sleep disorders diagnosis. In this work we propose to analyze brain activity through Electroencephalogram analysis in order to identify sleep stages variation. We focus on the classification phase. Most works in sleep stages classification are based on… (More)