RT Conference Proceedings
SR 00
A1 Brax, Nicolas
A1 Andonoff, Éric
A1 Gleizes, Marie-Pierre
A1 Glize, Pierre
T1 Self-adaptive Aided Decision-making - Application to Maritime Surveillance
YR 2013
SP 419
OP 422
K1 Multi-agent System - Learning - Self-adaptation - Decision Making - Maritime Surveillance
AB 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.
T2 5th International Conference on Agents and Artificial Intelligence (ICAART 2013)
LK https://publications.ut-capitole.fr/id/eprint/30319/