神经符号整合中的外展

S. Sathasivam
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引用次数: 0

摘要

溯因是指从描述一系列观察或事件的数据,到最能解释或解释数据的一组假设的过程。大多数关于绑架的工作都是使用逻辑或概率方法完成的。在本文中,我们将逻辑识别描述为应用这种溯因基础逻辑来识别具有相似逻辑内容的逻辑子句的数据集。溯因法用于识别相似的逻辑内容,同时规避知识表示上的差异。我们使用基于跳域网络的反向分析方法来捕获数据库中的底层规则。随后,我们使用溯因技术对该数据库进行逻辑识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Abduction in Neuro Symbolic Integration
Abduction is the process of proceeding from data describing a set of observations or events, to a set of hypotheses which best explains or accounts for the data. Most of the work on abduction has been done using a logical or a probabilistic approach. In this paper, we describe logic recognition as application of this abduction underlying logic to identify data sets of logical clauses that are having similar logic content. Abduction is used in recognition of similar logic content while evading differences in knowledge representations. We used Reverse Analysis method based on Hop field network to capture the rules underlying in a database. Later, we used abduction technique for logic recognition in that database.
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