高级逻辑程序设计的功能视角

Alexander Vandenbroucke
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引用次数: 0

摘要

逻辑编程的基础,如Prolog所体现的,在编程语言社区中是众所周知的。然而,更高级的技术,如表、答案包容和概率逻辑规划,未能吸引更多观众的注意。社区的兴趣似乎有限的原因在于这些特性的呈现:文献经常关注实现和示例,而这些实现和示例对该领域的非专家的理解几乎没有帮助。关键的一点是,许多这些高级逻辑编程特性可以用更广为人知、更容易理解的术语来描述。在我的研究中,我试图将逻辑编程(表,答案包容和概率编程)中的这些高级概念与函数编程(效果,单子和应用函子)中的概念协调起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Functional Perspective on Advanced Logic Programming
The basics of logic programming, as embodied by Prolog, are generally well-known in the programming language community. However, more advanced techniques, such as tabling, answer subsumption and probabilistic logic programming fail to attract the attention of a larger audience. The cause for the community's seemingly limited interest lies with the presentation of these features: the literature frequently focuses on implementations and examples that do little to aid the understanding of non-experts in the field. The key point is that many of these advanced logic programming features can be characterised in more generally known, more accessible terms. In my research I try to reconcile these advanced concepts from logic programming (Tabling, Answer subsumption and probabilistic programming) with concepts from functional programming (effects, monads and applicative functors).
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