Formal methods for answer set programming
| dc.contributor.advisor | Lifschitz, Vladimir | |
| dc.contributor.committeeMember | Boyer, Robert S. | |
| dc.contributor.committeeMember | Dillig, Isil | |
| dc.contributor.committeeMember | Hunt, Jr. , Warren A. | |
| dc.contributor.committeeMember | Schaub, Torsten | |
| dc.creator | Harrison, Amelia J. | |
| dc.date.accessioned | 2018-02-21T21:26:12Z | |
| dc.date.available | 2018-02-21T21:26:12Z | |
| dc.date.created | 2017-12 | |
| dc.date.issued | 2017-12 | |
| dc.date.submitted | December 2017 | |
| dc.date.updated | 2018-02-21T21:26:12Z | |
| dc.description.abstract | Answer set programming (ASP) is a declarative programming paradigm for the design and implementation of knowledge-intensive applications, particularly useful for modeling problems involving combinatorial search. The input languages of the first ASP software systems had the attractive property of a simple, fully specified declarative semantics, making it possible to use formal methods to analyze ASP programs -- to verify correctness, for example, or to show that two programs were equivalent. Since that time, many useful new constructs have been added to input languages. The increase in usability, however, has come at the expense of a fully specified semantics, as the semantics of newer constructs has not quite kept pace with the most general syntax that solvers can handle. In this thesis, we will describe one approach to bridging the gap between mathematical formulations of the semantics of ASP languages and the current state of the languages themselves. Our approach is to view ASP programs as corresponding to infinitary formulas (formulas with infinitely long conjunctions and disjunctions). | |
| dc.description.department | Computer Science | |
| dc.format.mimetype | application/pdf | |
| dc.identifier | doi:10.15781/T2T727Z61 | |
| dc.identifier.uri | http://hdl.handle.net/2152/63692 | |
| dc.language.iso | en | |
| dc.subject | Logic programming | |
| dc.subject | Formal methods | |
| dc.title | Formal methods for answer set programming | |
| dc.type | Thesis | |
| dc.type.material | text | |
| thesis.degree.department | Computer Sciences | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | The University of Texas at Austin | |
| thesis.degree.level | Doctoral | |
| thesis.degree.name | Doctor of Philosophy |