In: Proceedings of Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3 (AAMAS'04), July 19 - 23, 2004, New York City, New York, USA, pages 1246-1247. IEEE Press, July 2004.
Abstract: Representing agent conversations is an important aspect of multi-agent applications. Lately, Petri nets have been found to provide certain advantages comparing to other representation approaches. Radically different approaches using Petri nets have been proposed, and yet their relative strengths and weaknesses have not been examined. This paper analyzes the existing Petri net representations in terms of their scalability and appropriateness for monitoring tasks. Based on the insights gained, we propose a scalable Petri net representation for overhearing.