LOAIJan 4, 2020

selp: A Single-Shot Epistemic Logic Program Solver

arXiv:2001.01089v111 citations
AI Analysis

This work addresses a computational bottleneck for researchers and practitioners in logic programming by providing a more efficient solver for ELPs, though it is incremental as it builds on existing ASP techniques.

The paper tackles the problem of solving Epistemic Logic Programs (ELPs) by proposing a direct translation into non-ground ASP with bounded arity, enabling single-shot solving instead of multiple ASP calls, and implements this in the 'selp' system, which shows competitive performance on benchmarks.

Epistemic Logic Programs (ELPs) are an extension of Answer Set Programming (ASP) with epistemic operators that allow for a form of meta-reasoning, that is, reasoning over multiple possible worlds. Existing ELP solving approaches generally rely on making multiple calls to an ASP solver in order to evaluate the ELP. However, in this paper, we show that there also exists a direct translation from ELPs into non-ground ASP with bounded arity. The resulting ASP program can thus be solved in a single shot. We then implement this encoding method, using recently proposed techniques to handle large, non-ground ASP rules, into the prototype ELP solving system "selp", which we present in this paper. This solver exhibits competitive performance on a set of ELP benchmark instances. Under consideration in Theory and Practice of Logic Programming (TPLP).

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