Revising Knowledge in Multi-agent Systems Using Revision Programming with Preferences

机译：使用带有首选项的修订程序来修订多代理系统中的知识

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In this paper we extend the Revision Programming framework—a logic-based framework to express and maintain constraints on knowledge bases— with different forms of preferences. Preferences allow users to introduce a bias in the way agents update their knowledge to meet a given set of constraints. In particular, they provide a way to select one between alternative feasible revisions and they allow for the generation of revisions in presence of conflicting constraints, by relaxing the set of satisfied constraints (soft constraints). A methodology for computing preferred revisions using answer set programming is presented.

机译：在本文中，我们以不同形式的首选项扩展了修订编程框架（一种基于逻辑的框架，用于表达和维护知识库的约束）。首选项允许用户在代理更新其知识以满足给定约束集的方式上引入偏见。特别是，它们提供了一种方法来选择其他可行的修订版本，并且它们允许通过放宽满足的约束集（软约束）来在存在冲突约束的情况下生成修订。提出了使用答案集编程来计算优选修订的方法。

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来源
《International Workshop on Computational Logic in Multi-Agent Systems(CLIMA IV); 20040106-07; Fort Lauderdale,FL(US)》|2004年|P.134-158|共25页
会议地点 Fort LauderdaleFL(US)
作者
Inna Pivkina; Enrico Pontelli; Tran Cao Son;
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作者单位

Department of Computer Science, New Mexico State University;

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原文格式 PDF
正文语种 eng
中图分类人工智能理论;数理逻辑、数学基础;
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Revising Knowledge in Multi-agent Systems Using Revision Programming with Preferences

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