Learning user's behaviour with an Adaptive Multi-Agent System approach

Abstract

The context-aware systems allow the adaptation of the environment, which depends on the values perceived by sensors and on the users’ preferences detected from users behaviour. These system need to adapt at the users’ preferences change so as to generate dynamic systems that improve their models while they are running. This work proposes a multi-agent system which allows to learn and to anticipate users’ behaviour and to adapt at the change into a dynamic mode, and where storing information from the previous cases during successive execution is no more compulsory.