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.
Item Type: | Conference or Workshop Item (Paper) |
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Language: | English |
Date: | 2013 |
Uncontrolled Keywords: | Multi-agent System - Learning - Self-adaptation - Decision Making - Maritime Surveillance |
Subjects: | H- INFORMATIQUE |
Divisions: | Institut de Recherche en Informatique de Toulouse |
Site: | UT1 |
Date Deposited: | 20 Feb 2019 15:54 |
Last Modified: | 02 Apr 2021 15:59 |
URI: | https://publications.ut-capitole.fr/id/eprint/30319 |