基于规则的系统中信念修正模型的比较分析框架

S. Schocken
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引用次数: 0

摘要

基于规则的标准系统的信念修正是np困难的,需要使用准概率信念语言,而准概率信念语言在规范方面存在很大问题。作者提出了一个框架,旨在研究这些语言的贝叶斯解释和认知吸引力。他使用这个框架来回顾一些众所周知的和最近的发现,并评论了基于规则的系统中信念修正的替代方法的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A framework for comparative analysis of belief revision models in rule-based systems
Belief revision in standard rule-based systems is NP-hard, and it is necessary to resort to quasiprobabilistic belief languages which are quite problematic on normative grounds. The author presents a framework designed to study the Bayesian interpretation and cognitive appeal of these languages. He uses this framework to review some well-known and some recent findings, and comments on the merit of alternative approaches to belief revision in rule-based systems.<>
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