Abstract / Description of output
Carma is a recently developed, high-level quantitative modelling language developed for the design and analysis of collective adaptive systems. In the current Carma language, agents within a system consistof a behaviour, captured as a process, and knowledge, represented as a store of attributes. In this paper we present the rst steps to equipping agent specications with more sophisticated forms of knowledge in terms of goals and targets, and demonstrate how these may be integrated into the modelling and analysis process. We illustrate the ideas with a simple example taken from the domain of swarm robotics.