Titlebook: Declarative Programming and Knowledge Management; Conference on Declar Dietmar Seipel,Michael Hanus,Salvador Abreu Conference proceedings 2

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Truculent

Run-Time Analysis of Temporal Constrained Objectsthe underlying constraint solving methods. We address this problem by extracting a run-time trace of the execution of a TCOB program and providing an analysis of the cause of error. The run-time trace also serves as a basis, in many cases, for constructing a finite-state machine which in turn can be

好色

HILAR

清晰

Implementation of Logical Retraction in Constraint Handling Rules with Justificationssented a straightforward source-to-source transformation to implement this conservative extension. In this companion paper, we improve the performance of the transformation. We discuss its worst-case time complexity in general. Then we perform experiments. We benchmark the dynamic problem of maintai

鉆孔

The Proportional Constraint and Its Pruningefore rounding is used within its definition. For practical applications in finite domain Constraint Programming, pruning rules are presented and their correctness is proven. Further, it is shown by examples that the number of iterations necessary to reach a fixed-point while pruning depends on the

鉆孔

An Operational Semantics for Constraint-Logic Imperative Programming data and operations working on them, as well as due to their support of inheritance. However, in contrast to constraint-logic languages, they are not particularly suited for solving search problems. During development of enterprise software, which occasionally requires some search, one option is to

留戀

存心

Declarative Aspects in Explicative Data Mining for Computational Sensemakingsights and enhance understanding for supporting subsequent intelligent actions. Understandability and interpretability are key elements of that process as well as models and patterns captured therein. Here, . helps to include guiding knowledge structures into the process, while . provides interpreta

mechanism

An Approach for Representing Answer Sets in Natural Language process, often it would be desirable to have a natural-language representation of answer sets, e.g., when dealing with domain experts unfamiliar with ASP. In this paper, we address this point and provide an approach for such a representation, defined in terms of a controlled natural language (CNL),