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Conditional Importance Networks: A Graphical Language for Representing Ordinal, Monotonic Preferences over Sets of Goods

机译:条件重要性网络:用于代表序数,单调偏好的图形语言

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While there are several languages for representing combinatorial preferences over sets of alternatives, none of these are well-suited to the representation of ordinal preferences over sets of goods (which are typically required to be monotonic). We propose such a language, taking inspiration from previous work on graphical languages for preference representation, specifically CP-nets, and introduce conditional importance networks (Cl-nets). A Cl-net includes statements of the form "if I have a set A of goods, and I do not have any of the goods from some other set B, then I prefer the set of goods C over the set of goods D." We investigate expressivity and complexity issues for Cl-nets. Then we show that Cl-nets are well-suited to the description of fair division problems.
机译:虽然有几种语言代表组合偏好,但是这些偏替的组合偏好,这些都不适合于通过一组货物(通常需要单调的单调)的序数偏好的表示。我们提出这种语言,从以前的偏好表示,特别是CP-网上的图形语言中的兴趣采取灵感,并引入有条件的重要网络(CL-Net)。 CL-Net包括表单的陈述“如果我有一组商品,我没有其他一些集合的任何商品,那么我更喜欢这套商品C的商品D.”我们调查CL-Nets的表情和复杂性问题。然后我们表明CL-Net非常适合公平分区问题的描述。

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