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20112026
most citedClause-Learning Algorithms with Many Restarts and Bounded-Width Resolution

79 citations · 126 across the 29 of their papers we have counts for

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7 papers · 1 filter

cs.CC2026

Maximum Satisfiability of Simple Temporal Problems

Johannes K. Fichte, Johanna Groven, Peter Jonsson +2

The Simple Temporal Problem (STP) is a core framework for quantitative temporal constraints. As STP data can be inconsistent, we study MAXSTP: compute a maximum-cardinality consist…

cs.CC2026

Representative Sets in Propositional Abduction

Johannes Schmidt, Mohamed Maizia, Victor Lagerkvist +1

The propositional abduction problem is a well-known form of non-monotonic reasoning where we are asked to find an explanation of a given manifestation. Recently, there has been an…

cs.CC2023

Solving Projected Model Counting by Utilizing Treewidth and its Limits

Johannes K. Fichte, Markus Hecher, Michael Morak +2

In this paper, we introduce a novel algorithm to solve projected model counting (PMC). PMC asks to count solutions of a Boolean formula with respect to a given set of projection va…

cs.CC2019★ 1 cited

Lower Bounds for QBFs of Bounded Treewidth

Johannes Klaus Fichte, Markus Hecher, Andreas Pfandler

The problem of deciding the validity (QSAT) of quantified Boolean formulas (QBF) is a vivid research area in both theory and practice. In the field of parameterized algorithmics, t…

cs.CC2019

Treewidth and Counting Projected Answer Sets

Johannes K. Fichte, Markus Hecher

In this paper, we introduce novel algorithms to solve projected answer set counting (#PAs). #PAs asks to count the number of answer sets with respect to a given set of projected at…

cs.CC2015

Dual-normal Logic Programs - the Forgotten Class

Johannes K. Fichte, Miroslaw Truszczynski, Stefan Woltran

Disjunctive Answer Set Programming is a powerful declarative programming paradigm with complexity beyond NP. Identifying classes of programs for which the consistency problem is in…

cs.CC2011★ 11 cited

Backdoors to Tractable Answer-Set Programming

Johannes Klaus Fichte, Stefan Szeider

Answer Set Programming (ASP) is an increasingly popular framework for declarative programming that admits the description of problems by means of rules and constraints that form a…