OBDDs, SDDs, and circuits of bounded width: Completeness matters

Ordered Binary Decision Diagrams (OBDDs) are dynamic data structures with many application areas. The literature suggested that OBDDs of bounded width equate to Boolean circuits of bounded pathwidth. In this paper, we show that this relationship holds only for complete OBDDs. Additionally, we demonstrate that similar limitations affect the claimed equivalence between Sentential Decision Diagrams (SDDs) of bounded width and Boolean circuits of bounded treewidth.

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Publication Details

Journal
Artificial Intelligence
Published
2025-11-30
DOI
https://doi.org/10.1016/j.artint.2025.104458
Primary Topic
Bayesian Modeling and Causal Inference
Type
article
Field-Weighted Citation Impact
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article

OBDDs, SDDs, and circuits of bounded width: Completeness matters

Sebastian Ordyniak, Stefan Szeider, Alexis de Colnet
Artificial Intelligence
Bayesian Modeling and Causal Inference
article

OBDDs, SDDs, and circuits of bounded width: Completeness matters

Sebastian Ordyniak, Stefan Szeider, Alexis de Colnet
article en

Abstract

Ordered Binary Decision Diagrams (OBDDs) are dynamic data structures with many application areas. The literature suggested that OBDDs of bounded width equate to Boolean circuits of bounded pathwidth. In this paper, we show that this relationship holds only for complete OBDDs. Additionally, we demonstrate that similar limitations affect the claimed equivalence between Sentential Decision Diagrams (SDDs) of bounded width and Boolean circuits of bounded treewidth.

Artificial IntelligenceVol. 351
University of Leeds (GB), TU Wien (AT)
Openalex Percentile: Top 80%
Bayesian Modeling and Causal Inference
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