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Solving equational problems efficiently

机译:有效地解决实行问题

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Equational problems (i.e.: first-order formulae with quantifier prefix, whose only predicate symbol is syntactic equality) are an important tool in many areas of automated deduction. e.g.: restricting the set of ground instances of a clause via equational constraints allows the definition of stronger redundancy criteria and hence, in general, of more efficient theorem provers. Moreover, also the inference rules themselves can be restricted via constraints. In automated model building, equational problems play an important role both in the definition of an appropriate model representation and in the evaluation of clauses in such models. Also, many problems in the area of logic programming can be reduced to equational problem solving.
机译:实际问题(即:具有量化前缀的一阶公式,其唯一谓词符号是句法平等)是自动扣除的许多领域的重要工具。例如:通过等级约束限制条款的一组地面实例允许定义更强的冗余标准,因此通常更有效地定义定理普通的普通。此外,推理规则本身也可以通过约束来限制。在自动模型建设中,等实际问题在适当的模型表示的定义和这些模型中的条款评估中起着重要作用。此外,可以减少逻辑编程领域的许多问题,以减少到等实际问题解决。

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