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Layered Transducing Term Rewriting System and Its Recognizability Preserving Property

机译:分层换行术语重写系统及其可识别性

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A term rewriting system which effectively preserves recognizability (EPR-TRS) has good mathematical properties. In this paper, a new subclass of TRSs, layered transducing TRSs (LT-TRSs) is defined and its recognizability preserving property is discussed. The class of LT-TRSs contains some EPR-TRSs, e.g., {f(x) → f(g(x))} which do not belong to any of the known decidable subclasses of EPR-TRSs. Bottom-up linear tree transducer, which is a well-known computation model in the tree language theory, is a special case of LT-TRS. We present a sufficient condition for an LT-TRS to be an EPR-TRS. Also reachability and joinability are shown to be decidable for LT-TRSs.
机译:有效保留可识别性的术语重写系统(EPR-TRS)具有良好的数学特性。本文定义了TRS的一个新的子类,即分层转导TRS(LT-TRS),并讨论了其可识别性。 LT-TRS的类别包含一些EPR-TRS,例如{f(x)→f(g(x))},它不属于EPR-TRS的任何已知可判定子类别。自下而上的线性树换能器是LT-TRS的特例,它是树语言理论中众所周知的计算模型。我们为LT-TRS成为EPR-TRS提供了充分的条件。 LT-TRS的可达性和可连接性也被确定。

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