约束推理

C. Bessiere
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引用次数: 1

摘要

在本章中,我简要介绍了约束推理。约束推理是人工智能(AI)的一个子领域,现在更广为人知的是约束规划(CP)。当CP开始广泛用于解决工业应用中的组合问题时,名称的变化或多或少发生了。这也对应于逻辑编程在语言相关方面和运筹学在复杂约束传播方面的贡献丰富了CP的时刻。考虑到本书的主题,我将继续介绍面向ai的CP。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constraint Reasoning
In this chapter, I briefly present constraint reasoning. Constraint reasoning has been a subfield of artificial intelligence (AI) that is nowadays more well-known as constraint programming (CP). The change of name occurred more or less when CP has started to be widely used for solving combinatorial problems in industrial applications. This also corresponds to the moment where CP was enriched by the contributions from logic programming for the aspects related to languages and from operation research for the propagation of complex constraints. Considering the topic of this book, I will stay on a AI-oriented presentation of CP.
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