Projects per year
Abstract
Answer set programming (ASP) is an established knowledge representation formalism. Lazy grounding avoids the so-called grounding bottleneck of ASP by interleaving grounding and solving; this technique was recently extended to work with conflict-driven clause learning. Unfortunately, it often happens that such a lazy grounding ASP system, at the fixpoint of the evaluation, arrives at an assignment that contains literals that are true but unjustified. The system then is unable to determine the actual causes of the situation and falls back to chronological backtracking, potentially wasting an exponential amount of time. In this paper, we show how top-down query mechanisms can be used to analyze the situation, learn a new clause or nogood, and backjump further in the search tree. Contributions include a rephrasing of lazy grounding in terms of justifications and algorithms to construct relevant justifications without grounding. Initial experiments indicate that the newly developed techniques indeed allow for an exponential speed-up.
Original language | English |
---|---|
Title of host publication | Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 |
Editors | Jérôme Lang |
Publisher | IJCAI |
Pages | 1737-1745 |
Number of pages | 9 |
ISBN (Electronic) | 978-0-9992411-2-7 |
DOIs | |
Publication status | Published - 2018 |
MoE publication type | A4 Conference publication |
Event | International Joint Conference on Artificial Intelligence - Stockholm, Sweden Duration: 13 Jul 2018 → 19 Jul 2018 Conference number: 27 http://www.ijcai-18.org |
Conference
Conference | International Joint Conference on Artificial Intelligence |
---|---|
Abbreviated title | IJCAI |
Country/Territory | Sweden |
City | Stockholm |
Period | 13/07/2018 → 19/07/2018 |
Internet address |
Keywords
- Knowledge Representation and Reasoning: Non-monotonic Reasoning
- Constraints and SAT: Constraints: Solvers and Tools
- Knowledge Representation and Reasoning: Non-classical Logics for Knowledge Representation
Fingerprint
Dive into the research topics of 'Exploiting Justifications for Lazy Grounding of Answer Set Programs'. Together they form a unique fingerprint.Projects
- 1 Finished
-
Finnish centre of excellence in computational inference research
Kaski, S. (Principal investigator)
01/01/2015 → 31/12/2017
Project: Academy of Finland: Other research funding
Equipment
Activities
- 1 Conference presentation
-
Exploiting Justifications for Lazy Grounding of Answer Set Programs
Weinzierl, A. (Speaker)
18 Jul 2018Activity: Talk or presentation types › Conference presentation