Learning from examples and counterexamples with equational background knowledge

Emmanuel Kounalis
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引用次数: 1

Abstract

The author presents a method to check whether an implicit representation (i.e., a formula of the form t/(t1,. . .,tn), where t is viewed as a generalization of a set of examples and t1,. . .,tn are counterexamples) is a generalization with respect to a finite set of equations which describes the background knowledge problem; that is, whether there exists a ground (variable-free) instance of t which is not equivalent to any ground instance of t1,. . .,tn with respect to a set E of equations. Intuitively, the implicit representation t/(t1,. . .,tn) is a generalization if the set of ground instances of the formula t/(t1,. . .,tn) is non-empty. Whereas this problem is in general undecidable since the equality is so, it is shown here that, in the case where the set E of equations is compiled into a ground convergent term rewriting system, one can easily discover concepts in theories described by a finite set of equations.<>
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从具有等式背景知识的例子和反例中学习
作者提出了一种方法来检验一个隐式表示(即t/(t1,…,tn)形式的公式,其中t被视为一组例子的推广,t1,…,tn是反例)是否对描述背景知识问题的有限方程集的推广;也就是说,是否存在一个t的基本(无变量)实例,它不等于关于方程组E的任何t1,…,tn的基本实例。直观地说,如果公式t/(t1,…,tn)的基本实例集是非空的,则隐式表示t/(t1,…,tn)是一个泛化。虽然这个问题一般来说是不可判定的,因为等式是这样的,但这里表明,在方程组E被编译成一个地面收敛项重写系统的情况下,人们可以很容易地发现由有限方程组描述的理论中的概念。
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