AIAug 9, 2021

FOLASP: FO(.) as Input Language for Answer Ser Solvers

arXiv:2108.04020v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses a technological gap for researchers and practitioners in declarative problem solving by providing an incremental tool to expand solver options for FO(.).

The paper tackles the limited availability of solvers for FO(.) by developing a translation tool that converts FO(.) specifications into ASP-Core-2, enabling the use of existing ASP solvers. Experimental results show that this combination is competitive with the IDP system for solving FO(.) problems.

Over the past decades, Answer Set Programming (ASP) has emerged as an important paradigm for declarative problem solving. Technological progress in this area has been stimulated by the use of common standards, such as the ASP-Core-2 language. While ASP has its roots in non-monotonic reasoning, efforts have also been made to reconcile ASP with classical first-order logic (FO). This has resulted in the development of FO(.), an expressive extension of FO, which allows ASP-like problem solving in a purely classical setting. This language may be more accessible to domain experts already familiar with FO, and may be easier to combine with other formalisms that are based on classical logic. It is supported by the IDP inference system, which has successfully competed in a number of ASP competitions. Here, however, technological progress has been hampered by the limited number of systems that are available for FO(.). In this paper, we aim to address this gap by means of a translation tool that transforms an FO(.) specification into ASP-Core-2, thereby allowing ASP-Core-2 solvers to be used as solvers for FO(.) as well. We present experimental results to show that the resulting combination of our translation with an off-the-shelf ASP solver is competitive with the IDP system as a way of solving problems formulated in FO(.). Under consideration for acceptance in TPLP.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes