Situation Recognition and Hypothesis Management Using Petri Nets

Authors:
Anders Dahlbom;Lars Niklasson;Göran Falkman
Affiliations:
Informatics Research Centre, University of Skövde, Skövde, Sweden SE-541 28;Informatics Research Centre, University of Skövde, Skövde, Sweden SE-541 28;Informatics Research Centre, University of Skövde, Skövde, Sweden SE-541 28
Venue:
MDAI '09 Proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence
Year:
2009

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Abstract

Situation recognition --- the task of tracking states and identifying situations --- is a problem that is important to look into for aiding decision makers in achieving enhanced situation awareness. The purpose of situation recognition is, in contrast to producing more data and information, to aid decision makers in focusing on information that is important for them, i.e. to detect potentially interesting situations. In this paper we explore the applicability of a Petri net based approach for modeling and recognizing situations, as well as for managing the hypothesis space coupled to matching situation templates with the present stream of data.