Grounding Bound Founded Answer Set Programs
Authors: Rehan Abdul Aziz, Geoffrey Chu and Peter J. Stuckey
Paper Information
| Title: | Grounding Bound Founded Answer Set Programs |
| Authors: | Rehan Abdul Aziz, Geoffrey Chu and Peter J. Stuckey |
| Proceedings: | ICLP 2014 VSL proceedings |
| Editors: | Michael Leuschel, Tom Schrijvers and Martin Gebser |
| Keywords: | Answer Set Programming, Grounding, Flattening, Constraint ASP, Magic Sets |
| Abstract: | ABSTRACT. Bound Founded Answer Set Programming (BFASP) is an extension of Answer Set Programming (ASP) that extends stable model semantics to numeric variables. While the theory of BFASP is defined on ground rules, in practice BFASP programs are written as complex non-ground expressions. Flattening of BFASP is a technique used to simplify arbitrary expressions of the language to a small and well defined set of primitive expressions. In this paper, we first show how we can flatten arbitrary BFASP rule expressions, to give equivalent BFASP programs. Next, we extend the bottom-up grounding technique and magic set transformation used by ASP to BFASP programs. Our implementation shows that for BFASP problems, these techniques can significantly reduce the ground program size, and improve subsequent solving. |
| Pages: | 13 |
| Talk: | Jul 21 12:15 |
| Paper: | ![]() |
