Multiple approaches aim at describing numerical data with words. In this paper we give a brief overview of a distributed agent-based system providing summaries of city traffic in a textual form. The system deals locally with a problem of incomplete data adopting a method for grounding of modal statements in artificial cognitive agents. The internal uncertainty of an agent about a current state of the traffic is expressed with autoepistemic modal operators of possibility, belief, and knowledge.
Advances in intelligent and soft computing: Foundations of intelligent systems: proceedings of the 6th International Conference on Intelligent Systems and Knowledge Engineering (ISKE2011), Shanghai, China, 15-17 December 2011 / Yinglin Wang and Tianrui Li (eds.),
Vol. 122, pp. 105-114