Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Ramón Otero

dblp:133/1804 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Logic in computer science · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Logic in computer science › logic programming
answer set programming
0.212013
Domain-Specific Heuristics in Answer Set Programming · AAAI 2013
Logic in computer science › nonmonotonic reasoning
answer set solving
0.212013
Domain-Specific Heuristics in Answer Set Programming · AAAI 2013

Methods — techniques the papers use, named apart from their topics

declarative heuristic specification · 0.2
YearPublicationVenuePosition
2013 Domain-Specific Heuristics in Answer Set Programming
abstract
We introduce a general declarative framework for incorporating domain-specific heuristics into ASP solving. We accomplish this by extending the first-order modeling language of ASP by a distinguished heuristic predicate. The resulting heuristic information is processed as an equitable part of the logic program and subsequently exploited by the solver when it comes to non-deterministically assigning a truth value to an atom. We implemented our approach as a dedicated heuristic in the ASP solver clasp and show its great prospect by an empirical evaluation.
Martin Gebser, Benjamin Kaufmann, Javier Romero 0003, Ramón Otero, Torsten Schaub, Philipp Wanko
AAAI4