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Descriptional Complexity of Matrix Simple Semi-conditional Grammars

机译:矩阵简单半条件语法的描述性复杂性

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Matrix grammars are one of the first approaches ever proposed in regulated rewriting, prescribing that rules have to be applied in a certain order. Typical descriptional complexity measures incorporate the number of nonterminals or the length, i.e., the number of rules per matrix. In simple semi-conditional (SSC) grammars, the derivations are controlled by a permitting string or by a forbidden string associated to each rule. The maximum length i of permitting strings and the maximum length j of forbidden strings are called the degree of such grammars. Matrix SSC grammars (MSSC) put matrix grammar control on SSC rules. We consider the computational completeness of MSSC grammars with degrees (2, 1), (2,0) and (3,0). The results are important in the following aspects, (ⅰ) With permitting strings alone, it is unknown if SSC grammars are computational complete, while MSSC grammars describe RE even with severe further restrictions on their descriptional complexity, (ⅱ) Matrix grammars with appearance checking with three nonterminals are computationally complete; however, the length is unbounded. With our constructions for MSSC grammars, we can even bound the length.
机译:矩阵语法是曾经在规范重写中提出的第一种方法之一,规定规则必须以一定的顺序应用。典型的描述复杂度措施包含非终端或长度的数量,即每个矩阵的规则数。在简单的半条件(SSC)语法中,派生由允许字符串或由与每个规则相关联的禁止的字符串控制。允许字符串的最大长度I和禁止字符串的最大长度J称为这种语法的程度。矩阵SSC语法(MSSC)对SSC规则进行矩阵语法控制。我们考虑具有学位(2,1),(2,0)和(3,0)的MSSC语法的计算完整性。结果在以下几个方面非常重要,(Ⅰ)单独允许字符串,如果SSC语法是计算完整的,则MSSC语法描述了甚至对其描述复杂性的严重进一步限制,(Ⅱ)与外观检查的矩阵语法也是如此。三个非终端是计算完成的;但是,长度是无限的。通过我们对MSSC语法的结构,我们甚至可以绑定长度。

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