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Inductive logic programming using relevant logic

机译:使用相关逻辑的归纳逻辑编程

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摘要

This paper proposes a new method of Inductive Logic Programming (ILP) which generates hypotheses by using R{sub}∧→, which is one of relevant logic systems. The system R{sub}∧→, which is an extension of R{sub}∧→, has implication and conjunction as logical connectives, and satisfies some good properties such as relevance principle, decidability and so on. The method of this paper has two good properties. First, it doe not produce too generalized hypotheses due to those properties of R{sub}∧→. It is efficient especially in tearing from only positive example. Second, this method restricts the form of example to definite clause while common ILP systems restrict it to unit or ground clause. So it is a weaker restriction than that of other ILP systems.
机译:本文提出了一种归纳逻辑编程(ILP)的新方法,该方法利用相关逻辑系统之一的R {sub}∧→生成假设。系统R {sub}∧→是R {sub}∧→的扩展,具有逻辑上的联系和蕴涵,并满足相关性,可判定性等良好的性质。本文的方法具有两个良好的特性。首先,由于R {sub}∧→的那些特性,它不会产生过于笼统的假设。特别是仅从积极的例子中撕裂时,这是有效的。其次,此方法将示例的形式限制为定性从句,而常见的ILP系统将其限制为单位或基本从句。因此,与其他ILP系统相比,此限制较弱。

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