An extended knowledge compilation map for conditional preference statements-based and generalized additive utilities-based languages

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Hélène Fargier, Stefan Mengel, Jérôme Mengin
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引用次数: 0

Abstract

Conditional preference statements have been used to compactly represent preferences over combinatorial domains. They are at the core of CP-nets and their generalizations, and lexicographic preference trees. Several works have addressed the complexity of some queries (optimization, dominance in particular). We extend in this paper some of these results, and study other queries which have not been addressed so far, like equivalence, and transformations, like conditioning and variable elimination, thereby contributing to a knowledge compilation map for languages based on conditional preference statements. We also study the expressiveness and complexity of queries and transformations for generalized additive utilities.

基于条件偏好语句和广义累加功用语言的扩展知识编译图谱
条件偏好语句被用来紧凑地表示组合域上的偏好。条件偏好语句是 CP 网及其一般化和词典偏好树的核心。有几项研究已经解决了某些查询的复杂性问题(尤其是优化和支配性)。我们在本文中扩展了其中的一些成果,并研究了迄今为止尚未涉及的其他查询,如等价和转换,如条件和变量消除,从而为基于条件偏好语句的语言知识编译图做出了贡献。我们还研究了广义加法实用程序的查询和变换的表达能力和复杂性。
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来源期刊
Annals of Mathematics and Artificial Intelligence
Annals of Mathematics and Artificial Intelligence 工程技术-计算机:人工智能
CiteScore
3.00
自引率
8.30%
发文量
37
审稿时长
>12 weeks
期刊介绍: Annals of Mathematics and Artificial Intelligence presents a range of topics of concern to scholars applying quantitative, combinatorial, logical, algebraic and algorithmic methods to diverse areas of Artificial Intelligence, from decision support, automated deduction, and reasoning, to knowledge-based systems, machine learning, computer vision, robotics and planning. The journal features collections of papers appearing either in volumes (400 pages) or in separate issues (100-300 pages), which focus on one topic and have one or more guest editors. Annals of Mathematics and Artificial Intelligence hopes to influence the spawning of new areas of applied mathematics and strengthen the scientific underpinnings of Artificial Intelligence.
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