Brax, Nicolas, Andonoff, Éric, Gleizes, Marie-Pierre and Glize, Pierre (2013) Self-adaptive Aided Decision-making - Application to Maritime Surveillance. In: 5th International Conference on Agents and Artificial Intelligence (ICAART 2013).

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Abstract

Information required for decision-making in complex applications, such as éood forecast or maritime surveillance, can be represented using a mathematical function. However, due to the complexity of the considered applications and their dynamics, the parameters involved in the mathematical function can be hard to value a priori. This paper presents a Multi-Agent System, called PaMAS (Parameter Multi-Agent System) that is able to learn such parameters values on the éy, autonomously, cooperatively and by self-adaptation. It also illustrates the application of PaMAS in the context of the maritime surveillance European project I2C. It énally provides an evaluation of the PaMAS learning.