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SEMANTIC DERIVATION VERIFICATION: TECHNIQUES AND IMPLEMENTATION

机译:语义派生验证:技术和实现

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摘要

Automated Theorem Proving (ATP) systems are complex pieces of software, and thus may have bugs that make them unsound. In order to guard against unsoundness, the derivations output by an ATP system may be semantically verified by trusted ATP systems that check the required semantic properties of each inference step. Such verification needs to be augmented by structural verification that checks that inferences have been used correctly in the context of the overall derivation. This paper describes techniques for semantic verification of derivations, and reports on their implementation and testing in the GDV verifier.
机译:自动定理证明(ATP)系统是复杂的软件,因此可能存在使它们不健全的错误。为了防止不健全,可以由可信任的ATP系统在语义上验证ATP系统输出的派生,该系统检查每个推理步骤的所需语义属性。这种验证需要通过结构验证来增强,该结构验证可以在整体推导的上下文中检查是否正确使用了推论。本文介绍了派生语义验证的技术,并报告了它们在GDV验证程序中的实现和测试。

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