activity
20112022
most citedSpecifying and Exploiting Non-Monotonic Domain-Specific Declarative Heuristics in Answer Set Programming

7 citations · 14 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2022★ 7 cited

Specifying and Exploiting Non-Monotonic Domain-Specific Declarative Heuristics in Answer Set Programming

Richard Comploi-Taupe, Gerhard Friedrich, Konstantin Schekotihin +1

Domain-specific heuristics are an essential technique for solving combinatorial problems efficiently. Current approaches to integrate domain-specific heuristics with Answer Set Pro…

cs.AI2020

Advancing Lazy-Grounding ASP Solving Techniques -- Restarts, Phase Saving, Heuristics, and More

Antonius Weinzierl, Richard Taupe, Gerhard Friedrich

Answer-Set Programming (ASP) is a powerful and expressive knowledge representation paradigm with a significant number of applications in logic-based AI. The traditional ground-and-…

cs.AI2020

Conflict Generalisation in ASP: Learning Correct and Effective Non-Ground Constraints

Richard Taupe, Antonius Weinzierl, Gerhard Friedrich

Generalising and re-using knowledge learned while solving one problem instance has been neglected by state-of-the-art answer set solvers. We suggest a new approach that generalises…

cs.AI2019★ 2 cited

Exploiting Partial Knowledge in Declarative Domain-Specific Heuristics for ASP

Richard Taupe, Konstantin Schekotihin, Peter Schüller +2

Domain-specific heuristics are an important technique for solving combinatorial problems efficiently. We propose a novel semantics for declarative specifications of domain-specific…

cs.AI2019★ 3 cited

Degrees of Laziness in Grounding: Effects of Lazy-Grounding Strategies on ASP Solving

Richard Taupe, Antonius Weinzierl, Gerhard Friedrich

The traditional ground-and-solve approach to Answer Set Programming (ASP) suffers from the grounding bottleneck, which makes large-scale problem instances unsolvable. Lazy groundin…

cs.AI2011★ 2 cited

Advancing Multi-Context Systems by Inconsistency Management

Antonius Weinzierl

Multi-Context Systems are an expressive formalism to model (possibly) non-monotonic information exchange between heterogeneous knowledge bases. Such information exchange, however,…