Hierarchical Set Decision Diagrams and Automatic Saturation

Shared decision diagram representations of a state-space have been shown to provide efficient solutions for model-checking of large systems. However, decision diagram manipulation is tricky, as the construction procedure is liable to produce intractable intermediate structures (a.k.a peak effect). The definition of the so-called saturation method has empirically been shown to mostly avoid this peak effect, and allows verification of much larger systems. However, applying this algorithm currently requires deep knowledge of the decision diagram data-structures, of the model or formalism manipulated, and a level of interaction that is not offered by the API of public DD packages. Hierarchical Set Decision Diagrams (SDD) are decision diagrams in which arcs of the structure are labeled with sets, themselves stored as SDD. This data structure offers an elegant and very efficient way of encoding structured specifications using decision diagram technology. It also offers, through the concept o...

• Type: Conference
• Year: 2008
• Where: APN
• Authors: Alexandre Hamez, Yann Thierry-Mieg, Fabrice Kordon
• Keywords: APN 2008, Artificial Intelligence, Decision Diagram Manipulation, Decision Diagram Representations, Decision Diagrams