np困难任务:定理的自动证明和图灵机

V. Martyanov
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引用次数: 0

摘要

为解决np完全(困难)任务,提出了对满足约束方法(CS)的改进,包括定理自动证明(APT)和图灵机约束生成编程(TM)。目前,CS以截断形式(逻辑编程)使用AP,并建议使用不变量变换方法(MIT),这是一种成熟的APT。此外,还提出使用CS方法生成TM,求解记录在TM磁带上的np困难任务,这是编程能力在约束条件下的扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NP-Difficult Tasks: Automatic Proof of Theorems and Turings Machine
It is offered to use for solving NP-complete (difficult) tasks a modification of methods for satisfying the constraint (CS) by including automatic proof of theorems (APT), and programming in constraints — generation of Turing's machine (TM). Currently, CS uses AP in a truncated form (logical programming), and it is suggested using the method of invariant transformations (MIT), which is a full-fledged APT. In addition, it is offered to use CS methods to generate TM solving NP-difficult tasks recorded on the TM tape, which is an extension of programming capabilities in constraints.
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