Abstract
We present a new technique for the generation and storage of the reachability set of a Petri net. Our approach is inspired by previous work on Binary and Multi-valued Decision Diagrams but exploits a concept of locality for the effect of a transition’s firing to vastly improve algorithmic performance. The result is a data structure and a set of manipulation routines that can be used to generate and store enormous sets extremely efficiently in terms of both memory and execution time.
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CITATION STYLE
Miner, A. S., & Ciardo, G. (1999). Efficient reachability set generation and storage using decision diagrams. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1639, pp. 6–25). Springer Verlag. https://doi.org/10.1007/3-540-48745-X_2
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