摘要翻译：
近年来，CP-nets已成为支持偏好获取、推理和表示的有用工具。CP-nets捕获并支持定性条件偏好语句的推理，这些语句对用户来说表达起来相对自然。在本文中，我们扩展了CP-nets形式来处理另一类在日常生活中表达偏好时经常使用的非常自然的定性陈述--属性的相对重要性陈述。由此产生的形式，TCP-nets保持了CP-nets的精神，因为它仍然专注于只使用简单和自然的偏好语句，使用ceteris paribus语义，并利用该信息的图形表示来推理其一致性，并使用它执行可能受到限制的优化。它提供的额外表现力使我们能够更好地建模用户想要做出的权衡，更忠实地代表他们的偏好。
---
英文标题：
《On Graphical Modeling of Preference and Importance》
---
作者：
R. I. Brafman, C. Domshlak, S. E. Shimony
---
最新提交年份：
2011
---
分类信息：

一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
--

---
英文摘要：
  In recent years, CP-nets have emerged as a useful tool for supporting preference elicitation, reasoning, and representation. CP-nets capture and support reasoning with qualitative conditional preference statements, statements that are relatively natural for users to express. In this paper, we extend the CP-nets formalism to handle another class of very natural qualitative statements one often uses in expressing preferences in daily life - statements of relative importance of attributes. The resulting formalism, TCP-nets, maintains the spirit of CP-nets, in that it remains focused on using only simple and natural preference statements, uses the ceteris paribus semantics, and utilizes a graphical representation of this information to reason about its consistency and to perform, possibly constrained, optimization using it. The extra expressiveness it provides allows us to better model tradeoffs users would like to make, more faithfully representing their preferences.
---
PDF链接：
https://arxiv.org/pdf/1109.6345