AIApr 18, 2021

Generating explanations for answer set programming applications

arXiv:2104.08963v12 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the need for interpretability in ASP applications, but it is incremental as it builds on existing explanation concepts without introducing new methods.

The authors tackled the problem of explaining why atoms are true or false in Answer Set Programming (ASP) applications by developing a system that generates all explanation graphs for a given program, answer set, and atom, as demonstrated with examples from the literature.

We present an explanation system for applications that leverage Answer Set Programming (ASP). Given a program P, an answer set A of P, and an atom a in the program P, our system generates all explanation graphs of a which help explain why a is true (or false) given the program P and the answer set A. We illustrate the functionality of the system using some examples from the literature.

Foundations

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

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