atlas

Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes

Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty

AAAI 2021 · Probabilistic and scientific modeling › Uncertainty and Gaussian processes · approach: Bayesian decision-making under uncertainty · 6 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add randomized quantification and explicit dependencies for existential variablesDQBF, yielding DSSAT · DSSAT decision problemcomplexity: NEXPTIME-completeHelped
Encode a Dec-POMDP using DSSAT variables and dependency-constrained Skolem functionsDec-POMDP · Finite-horizon Dec-POMDPreductionHelped
Encode probabilistic partial design equivalence checking as DSSATProbabilistic partial design · Probabilistic partial design equivalence checkingcomplexity characterization: NEXPTIME-completeHelped
Represent approximate partial design with random input variables and no auxiliary error-triggering inputsDSSAT · Approximate partial designexpressivenessHelped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy