A guidance of ambient agents adapted to opportunistic situations

Abstract

In this paper,we address ambient systems whose computational process is based on autonomous and context-aware intelligent agents. The planning management framework we propose is agent-centered and looks for an efficient guidance improving the satisfaction of the agent’s intentions,taken as a whole. This also includes the intentions pushed by some opportunistic situations,according to their relevances for the agents. Originally,the formal model we propose allows to dynamically schedule the plans of the intentions concurrently,allowing to extract the traces having a maximum relevance coding.