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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)
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)
During the last decades, Learning Classifier Systems have known many advancements that were highlighting their potential to resolve complex problems. Despite the advantages offered by these algorithms, it is important to tackle other aspects such as the uncertainty to improve their performance. In this paper, we present a new Learning Classifier System(More)