Talks and Poster Presentations (with Proceedings-Entry):
B. Bliem, S. Woltran:
"Equivalence between Answer-Set Programs under (Partially) Fixed Input";
Talk: Foundations of Information and Knowledge Systems - 9th International Symposium - FoIKS 2016,
Linz;
2016-03-07
- 2016-03-11; in: "Foundations of Information and Knowledge Systems - 9th International Symposium, FoIKS 2016, Linz, Austria, March 7-11, 2016. Proceedings",
M. Gyssens, G. Simari (ed.);
Lecture Notes in Computer Science (LNCS) / Springer,
9616
(2016),
ISBN: 978-3-319-30023-8;
95
- 111.
English abstract:
Answer Set Programming (ASP) has become an increasingly popular formalism for declarative problem solving. Among the huge body of theoretical results, investigations of different equivalence notions between logic programs play a fundamental role for understanding modularity and optimization. While strong equivalence between two programs holds if they can be faithfully replaced by each other in any context (facts and rules), uniform equivalence amounts to equivalent behavior of programs under any set of facts. Both notions (as well as several variants thereof) have been extensively studied. However, the somewhat reverse notion of equivalence which holds if two programs are equivalent under the addition of any set of proper rules (i.e., all rules except facts) has not been investigated yet. In this paper, we close this gap and give a thorough study of this notion, which we call rule equivalence (RE), and its parameterized version where we allow facts over a given restricted alphabet to appear in the context. RE is thus a relationship between two programs whose input is (partially) fixed but where additional proper rules might still be added. Such a notion might be helpful in debugging of programs. We give full characterization results and a complexity analysis for the propositional case of RE. Moreover, we show that RE is decidable in the non-ground case.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1007/978-3-319-30024-5_6
Related Projects:
Project Head Stefan Woltran:
Answer-Set Programming Erweiterungen für Problemlösungen auf Zerlegungen
Project Head Stefan Woltran:
START
Created from the Publication Database of the Vienna University of Technology.