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A Generic Framework for Higher-Order Generalizations

机译:用于高阶概括的通用框架

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摘要

We consider a generic framework for anti-unification of simply typed lambda terms. It helps to compute generalizations which contain maximally common top part of the input expressions, without nesting generalization variables. The rules of the corresponding anti-unification algorithm are formulated, and their soundness and termination are proved. The algorithm depends on a parameter which decides how to choose terms under generalization variables. Changing the particular values of the parameter, we obtained four new unitary variants of higher-order anti-unification and also showed how the already known pattern generalization fits into the schema.
机译:我们考虑一个简单类型的Lambda条款的反统一的通用框架。它有助于计算包含输入表达式最大公共顶部的概括,而不嵌套泛化变量。配制了相应的反统一算法的规则,并证明了它们的声音和终止。该算法取决于决定在泛化变量下选择术语的参数。改变参数的特定值,我们获得了高阶抗统一的四种新的酉变体,并且还显示了已经已知的模式泛化如何适合模式。

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