On the Relative Succinctness of Sentential Decision Diagrams
Beate Bollig, Matthias Buttkus

TL;DR
This paper investigates the relative succinctness of Sentential Decision Diagrams (SDDs) compared to other Boolean function representations, showing SDDs can be simulated quasipolynomially by unambiguous nondeterministic OBDDs and addressing open questions in the field.
Contribution
The paper provides a quasipolynomial simulation of SDDs by unambiguous nondeterministic OBDDs and resolves an open problem about the relative succinctness of SDDs and FBDDs.
Findings
SDDs can be simulated quasipolynomially by unambiguous nondeterministic OBDDs.
A polynomial SDD size function can correspond to exponential OBDD size.
The open problem about the relative succinctness of SDDs and FBDDs is answered.
Abstract
Sentential decision diagrams (SDDs) introduced by Darwiche in 2011 are a promising representation type used in knowledge compilation. The relative succinctness of representation types is an important subject in this area. The aim of the paper is to identify which kind of Boolean functions can be represented by SDDs of small size with respect to the number of variables the functions are defined on. For this reason the sets of Boolean functions representable by different representation types in polynomial size are investigated and SDDs are compared with representation types from the classical knowledge compilation map of Darwiche and Marquis. Ordered binary decision diagrams (OBDDs) which are a popular data structure for Boolean functions are one of these representation types. SDDs are more general than OBDDs by definition but only recently, a Boolean function was presented with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
