Generating descriptions of incomplete city-traffic states with agents

Abstract

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. © 2011 Springer-Verlag Berlin Heidelberg.