'Stable models' presentation slideshows

Logic Program Semantics Background

531 views • 44 slides

569 views • 43 slides

582 views • 32 slides

Well-founded Semantics with Disjunction

411 views • 28 slides

The idea of completion

318 views • 27 slides

The idea of completion

324 views • 27 slides

ASP vs. Prolog like programming

ASP vs. Prolog like programming. ASP is adequate for: NP-complete problems situation where the whole program is relevant for the problem at hands If the problem is polynomial, why using such a complex system?

340 views • 27 slides

Programming with Constraints Jia-Huai You

Programming with Constraints Jia-Huai You. Constraint programming languages - based on non-monotonic logic - Answer set programming (ASP) Knowledge Representation and Reasoning - Semantics, computation, application. Examples. 3-Colorability

330 views • 20 slides

ASP vs. Prolog like programming

ASP vs. Prolog like programming. ASP is adequate for: NP-complete problems situation where the whole program is relevant for the problem at hands If the problem is polynomial, why using such a complex system?

349 views • 17 slides

Answer Set Programming Overview

369 views • 16 slides

Features as Constraints

Features as Constraints. Rafael Accorsi Univ. Freiburg Carlos Areces Univ. Amsterdam Wiet Bouma KPN Research Maarten de Rijke Univ. Amsterdam. Overview of talk. Background & motivation Non-monotonicity & constraint programming Stable model semantics, Smodels Using Smodels Evaluation

207 views • 13 slides

A Case for Predicate Answer Set Programming

A Case for Predicate Answer Set Programming. Gopal Gupta Elmer Salazar, Kyle Marple, Zhuo Chen, Farhad Shakerin Department of Computer Science The University of Texas at Dallas Support from the US NSF is gratefully acknowledged. Common Sense Reasoning.

107 views • 10 slides

Normal Programs with Cardinality Constraints

Normal Programs with Cardinality Constraints. C = L {a 1 , ..., a n , not b 1 , ..., not b m } U L lower bound, U upper bound (missing L: 0, missing U: n+m) Lit(C) = {a 1 , ..., a n , not b 1 , ..., not b m } intuition: at least L, at most U literals must be true

254 views • 9 slides