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Exploiting Constraints for Domain Managing in CLP(FD)

机译:CLP(FD)中域管理的利用约束

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Constraint Logic Programming Languages on Finite Domains CLP(FD) provide a declarative framework for dealing with problems in Artificial Intelligence (AI). However, in many applications, domains are not known at the beginning of the computation and must be computed. The domain computation can be time-consuming, since elements can be retrieved through an expensive acquisition process from the outer world. In this paper, we introduce a CLP language that treats domains as first-class objects, and allows the definition of domains through constraints in a CLP (FD) environment. We define operations and properties on variables and domains. The language can be implemented on top of different CLP systems, exploiting thus different semantics for domains. We state the specifications that the employed system should provide, and we show that two different CLP system (Conjunto and {log}) can be effectively used.
机译:有限域CLP(FD)上的约束逻辑编程语言为处理人工智能(AI)中的问题提供了声明框架。但是,在许多应用中,域在计算开始时不知道,并且必须计算。域计算可以是耗时的,因为可以通过来自外层世界的昂贵的采集过程来检索元素。在本文中,我们介绍了一种CLP语言,该语言将域视为一流的对象,并允许通过CLP(FD)环境中的约束定义域。我们在变量和域上定义操作和属性。语言可以在不同的CLP系统之上实现,从而利用域的不同语义。我们说明所采用的系统应该提供的规范,我们表明可以有效地使用两个不同的CLP系统(Condunto和{log})。

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