Sorting Strategies for Interactive Conflict Resolution in ASP

Andre Thevapalan
Gabriele Kern-Isberner

Answer set programs in practice are often subject to change. This can lead to inconsistencies in the modified program due to conflicts between rules which are the results of the derivation of strongly complementary literals. To facilitate the maintenance of consistency in answer set programs, in this paper we continue work on a recently presented framework that implements interactive conflict resolution by extending the bodies of conflicting rules by suitable literals, so-called λ-extensions. More precisely, we present strategies to choose λ-extensions that allow for resolving several conflicts at a time in an order that aims at minimizing (cognitive) efforts. In particular, we present a graphical representation of connections between conflicts and their possible solutions. Such a representation can be utilized to efficiently guide the user through the conflict resolution process by displaying conflicts and suggesting solutions in a suitable order.

In Enrico Pontelli, Stefania Costantini, Carmine Dodaro, Sarah Gaggl, Roberta Calegari, Artur D'Avila Garcez, Francesco Fabiano, Alessandra Mileo, Alessandra Russo and Francesca Toni: Proceedings 39th International Conference on Logic Programming (ICLP 2023), Imperial College London, UK, 9th July 2023 - 15th July 2023, Electronic Proceedings in Theoretical Computer Science 385, pp. 116–128.
Published: 12th September 2023.

ArXived at: https://dx.doi.org/10.4204/EPTCS.385.13 bibtex PDF
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