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检索条件"任意字段=16th International Conference of Inductive Logic Programming"
318 条 记 录,以下是31-40 订阅
排序:
Syntactic ASP Forgetting with Forks  16th
Syntactic ASP Forgetting with Forks
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16th international conference on logic programming and Non-Monotonic Reasoning (LPNMR)
作者: Aguado, Felicidad Cabalar, Pedro Fandinno, Jorge Pearce, David Perez, Gilberto Vidal, Concepcion Univ A Coruna Corunna Spain Univ Nebraska Omaha NE 68182 USA Univ Politecn Madrid Madrid Spain
In this paper, we present a syntactic transformation, called the unfolding operator, that allows forgetting an atom in a logic program (under ASP semantics). the main advantage of unfolding is that, unlike other synta... 详细信息
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A Practical Account into Counting Dung's Extensions by Dynamic programming  16th
A Practical Account into Counting Dung's Extensions by Dynam...
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16th international conference on logic programming and Non-Monotonic Reasoning (LPNMR)
作者: Dewoprabowo, Ridhwan Fichte, Johannes Klaus Gorczyca, Piotr Jerzy Hecher, Markus Tech Univ Dresden Dresden Germany TU Wien Vienna Austria
A Abstract argumentation and Dung's framework are popular for modeling and evaluating arguments in artificial intelligence. We consider various counting problems in abstract argumentation under practical aspects. ... 详细信息
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Modal logic S5 in Answer Set programming with Lazy Creation of Worlds  16th
Modal Logic S5 in Answer Set Programming with Lazy Creation ...
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16th international conference on logic programming and Non-Monotonic Reasoning (LPNMR)
作者: Alviano, Mario Batsakis, Sotiris Baryannis, George Univ Calabria Arcavacata Di Rende Italy Tech Univ Crete Iraklion Greece Univ Huddersfield Sch Comp & Engn Huddersfield W Yorkshire England
Modal logic S5 is used extensively for representing knowledge that includes statements about necessity and possibility, owing to its simplicity in handling chained modal operators. Significant research effort has been... 详细信息
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xASP: An Explanation Generation System for Answer Set programming  16th
xASP: An Explanation Generation System for Answer Set Progra...
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16th international conference on logic programming and Non-Monotonic Reasoning (LPNMR)
作者: Trieu, Ly Ly Son, Tran Cao Balduccini, Marcello New Mexico State Univ Las Cruces NM 88003 USA St Josephs Univ Philadelphia PA 19131 USA
In this paper, we present a system, called xASP, for generating explanations that explain why an atom belongs to (or does not belong to) an answer set of a given program. the system can generate all possible explanati... 详细信息
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Enumeration of Minimal Models and MUSes in WASP  16th
Enumeration of Minimal Models and MUSes in WASP
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16th international conference on logic programming and Non-Monotonic Reasoning (LPNMR)
作者: Alviano, Mario Dodaro, Carmine Fiorentino, Salvatore Previti, Alessandro Ricca, Francesco Dept Math & Comp Sci Arcavacata Di Rende Italy Ericsson Res Stockholm Sweden Univ Calabria Arcavacata Di Rende Italy
Several AI problems can be conveniently modelled in ASP, and many of them require to enumerate solutions characterized by an optimality property that can be expressed in terms of subset-minimality with respect to some... 详细信息
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Metric Temporal Answer Set programming over Timed Traces  16th
Metric Temporal Answer Set Programming over Timed Traces
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16th international conference on logic programming and Non-Monotonic Reasoning (LPNMR)
作者: Cabalar, Pedro Dieguez, Martin Schaub, Torsten Schuhmann, Anna Univ A Coruna Coruna Spain Univ Angers LERIA Angers France Univ Potsdam Potsdam Germany
In temporal extensions of Answer Set programming (ASP) based on linear-time, the behavior of dynamic systems is captured by sequences of states. While this representation reflects their relative order, it abstracts aw... 详细信息
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Towards Causality-Based Conflict Resolution in Answer Set Programs  16th
Towards Causality-Based Conflict Resolution in Answer Set Pr...
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16th international conference on logic programming and Non-Monotonic Reasoning (LPNMR)
作者: thevapalan, Andre Haupt, Konstantin Kern-Isberner, Gabriele Tech Univ Dortmund D-44227 Dortmund Germany
Using answer set programming in real-world applications requires that the answer set program is correct and adequately represents knowledge. In this paper, we present strategies to resolve unintended contradictory sta... 详细信息
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Solving Problems in the Polynomial Hierarchy with ASP(Q)  16th
Solving Problems in the Polynomial Hierarchy with ASP(Q)
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16th international conference on logic programming and Non-Monotonic Reasoning (LPNMR)
作者: Amendola, Giovanni Cuteri, Bernardo Ricca, Francesco Truszczynski, Mirek Univ Calabria Arcavacata Di Rende Italy Univ Kentuky Lexington KY USA
Answer Set programming with Quantifiers ASP(Q) is a recent extension of Answer Set programming (ASP) that allows one to model problems from the entire polynomial hierarchy. Earlier work focused on demonstrating modeli... 详细信息
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Deep Learning for the Generation of Heuristics in Answer Set programming: A Case Study of Graph Coloring  16th
Deep Learning for the Generation of Heuristics in Answer Set...
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16th international conference on logic programming and Non-Monotonic Reasoning (LPNMR)
作者: Dodaro, Carmine Ilardi, Davide Oneto, Luca Ricca, Francesco Univ Calabria DeMaCS Arcavacata Di Rende Italy Univ Genoa DIBRIS Genoa Italy
Answer Set programming (ASP) is a well-established declarative AI formalism for knowledge representation and reasoning. ASP systems were successfully applied to both industrial and academic problems. Nonetheless, thei... 详细信息
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Control logic Encoding using RiskSpectrum ModelBuilder  16
Control Logic Encoding using RiskSpectrum ModelBuilder
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16th international conference on Probabilistic Safety Assessment and Management, PSAM 2022
作者: Krcal, Pavel Troili, Helena Bäckström, Ola Lloyd's Register Stockholm Sweden
Model-based safety assessment brings dependability modeling closer to the system design and allow for automated analysis of high-level models. RiskSpectrum ModelBuilder uses an object-oriented modeling language with e... 详细信息
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