Encoding higher level extensions of Petri nets in answer set programming

Abstract

Answering realistic questions about biological systems and pathways similar to text book questions used for testing students' understanding of such systems is one of our long term research goals. Often these questions require simulation based reasoning. In this paper, we show how higher level extensions of Petri Nets, such as colored tokens can be encoded in Answer Set Programming, thereby providing the right formalisms to model and reason about such questions with relative ease. Our approach can be adapted to other domains. © 2013 Springer-Verlag.