Diminution: On Reducing the Size of Grounding ASP Programs
This addresses the grounding bottleneck for ASP users, offering a generalizable improvement over ad-hoc heuristics.
The paper tackles the grounding bottleneck in Answer Set Programming (ASP) by introducing diminution, a formal strategy to reduce the Herbrand universe and generate smaller ground programs, resulting in up to 70% faster grounding time and 85% smaller grounding files in experiments.
Answer Set Programming (ASP) is often hindered by the grounding bottleneck: large Herbrand universes generate ground programs so large that solving becomes difficult. Many methods employ ad-hoc heuristics to improve grounding performance, motivating the need for a more formal and generalizable strategy. We introduce the notion of diminution, defined as a selected subset of the Herbrand universe used to generate a reduced ground program before solving. We give a formal definition of diminution, analyze its key properties, and study the complexity of identifying it. We use a specific encoding that enables off-the-shelf ASP solver to evaluate candidate subsets. Our approach integrates seamlessly with existing grounders via domain predicates. In extensive experiments on five benchmarks, applying diminutions selected by our strategy yields significant performance improvements, reducing grounding time by up to 70% on average and decreasing the size of grounding files by up to 85%. These results demonstrate that leveraging diminutions constitutes a robust and general-purpose approach for alleviating the grounding bottleneck in ASP.