We investigate a generalization of weight-constraint programs with stable semantics, as implemented in the ASP solver smodels. Our programs admit atoms of the form 〈X, F〉 where X is a finite set of propositional atoms...
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Answer Set programming has become a host for expressing knowledge representation problems, which reinforces the interest in efficient methods for computing answer sets of a logic program. While for propositional progr...
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the proceedings contain 17 papers. the special focus in this conference is on Practical Aspects of Declarative Languages. the topics include: An algebraic theory of polymorphic temporal media;supporting decisions in c...
ISBN:
(纸本)9783540248361
the proceedings contain 17 papers. the special focus in this conference is on Practical Aspects of Declarative Languages. the topics include: An algebraic theory of polymorphic temporal media;supporting decisions in complex, uncertain domains with declarative languages;a typeful approach to object-oriented programming with multiple inheritance;compositional model-views with generic graphical user interfaces;a type-preserving xml schema-Haskell data binding;improved compilation of prolog to c using moded types and determinism information;pruning in the extended Andorra model;improving the quality of plans in answer set planning;a system for reasoning about answer set programs in prolog;simplifying dynamic programming via tabling;symbolic execution of behavioral requirements;observing functional logic computations;a program generator for customized generic Fortran extensions;implementing cut elimination and a case study of simulating dependent types in Haskell.
In this paper we consider a logicprogramming framework for reasoning about imprecise probabilities. In particular, we propose a new semantics, for the Probabilistic logic Programs (p-programs) of Ng and Subrahmanian....
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We have developed an annotated logic program called an EVALPSN(Extended Vector Annotated logic Program with Strong Negation), which can deal with defeasible deontic reasoning and some kinds of contradiction, and appli...
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ISBN:
(纸本)3540221174
We have developed an annotated logic program called an EVALPSN(Extended Vector Annotated logic Program with Strong Negation), which can deal with defeasible deontic reasoning and some kinds of contradiction, and applied EVALPSN to automatic safety verification, traffic signal control, robot action control, etc.. Generally, discrete event control can be represented as deontic rules such as it is forbidden for boththe cat and mouse to occupy the same room simultaneously, and must deal with contradiction to avoid unexpected system states. We show that such discrete event control can be easily formalized in EVALPSN. In this paper, we introduce the application of EVALPSN to discrete event control with taking a famous example Cat and Mouse.
the proceedings contain 37 papers. the special focus in this conference is on Inductive Inference, PAC Learning, Boosting and Statistical Supervised Learning. the topics include: Applications of regularized least squa...
ISBN:
(纸本)9783540233565
the proceedings contain 37 papers. the special focus in this conference is on Inductive Inference, PAC Learning, Boosting and Statistical Supervised Learning. the topics include: Applications of regularized least squares to classification problems;probabilistic inductive logicprogramming;hidden Markov modelling techniques for haplotype analysis;learning languages from positive data and negative counterexamples;inductive inference of term rewriting systems from positive data;on the data consumption benefits of accepting increased uncertainty;comparison of query learning and gold-style learning in dependence of the hypothesis space;boosting based on divide and merge;more theoretical justification for practical algorithms;complexity of pattern classes and lipschitz property;on kernels, margins, and low-dimensional mappings;estimation of the data region using extreme-value distributions;universal convergence of semimeasures on individual random sequences;a criterion for the existence of predictive complexity for binary games;full information game with gains and losses;prediction with expert advice by following the perturbed leader for general weights;on the convergence speed of MDL predictions for Bernoulli sequences;on the complexity of working set selection;convergence of a generalized gradient selection approach for the decomposition method;Newton diagram and stochastic complexity in mixture of binomial distributions;learnability of relatively quantified generalized formulas;the subsumption lattice and query learning;learning tree languages from positive examples and membership queries and statistical learning in digital wireless communications.
Towards the integration of rules and ontologies in the Semantic Web, we propose a combination of logicprogramming under the answer set semantics withthe description logics S HI F (D) and S HOI N (D), which underly t...
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Defeasible reasoning is a rule-based approach for efficient reasoning with incomplete and inconsistent information. Such reasoning is, among others, useful for ontology integration, where conflicting information arise...
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Defeasible reasoning is a rule-based approach for efficient reasoning with incomplete and inconsistent information. Such reasoning is, among others, useful for ontology integration, where conflicting information arises naturally; and for the modeling of business rules and policies, where rules with exceptions are often used. this work describes these scenarios in more detail, and reports on the implementation of a system for defeasible reasoning on the Web. the system (a) is syntactically compatible with RuleML; (b) features strict and defeasible rules and priorities; (c) is based on a translation to logicprogramming with declarative semantics; and (d) is flexible and adaptable to different intuitions within defeasible reasoning.
We present a program logic for reasoning about resource consumption of programs written in Grail, an abstract fragment of the Java Virtual Machine Language. Serving as the target logic of a certifying compiler, the lo...
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this work focuses on improving network management and monitoring by the adoption of artificialintelligence techniques. In order to allow automated reasoning on networking concepts, we defined an accurate ontological ...
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this work focuses on improving network management and monitoring by the adoption of artificialintelligence techniques. In order to allow automated reasoning on networking concepts, we defined an accurate ontological model capable of describing as better as possible the networking domain. the thorough representation of the domain knowledge is used by a logical reasoner, which is an expert system capable of performing high-level management tasks.
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