Cognitive Perception in RAFALE-SP Methodology

Several methodologies based on multi-agent systems (MAS) already exist. They help designers to describe software or to create MAS which aim at solving complex problems by simulations. Due to used formalisms, a methodology may be more or less generic. In this context, we have created a mobility oriented methodology called RAFALE-SP based on multi-agent systems. It helps us to describe mobiles which move on a space. This environment can be a virtual representation of a real space like a town where unpredictable events arise. We apply our methodology to solve problems which come from different research areas. We use it to find answers to geographical problems. The presented methodology begins by a conceptual representation of each mobile type and finishes by a mobility simulator. It uses several formalisms: UML and Ploom-unity. They allow us to define mobiles, their interactions and their environment. According to their knowledge, their behaviour rules, mobiles moves on a space by following few motion types. They get an individual perception of the world. In this paper we focus on mobile perception description