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Presenting proofs in a human-oriented way

机译:以人为本的方式展示证明

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Presenting machine-generated proofs in terms adequate to the needs of a human audience is a serious challenge. One salient property of mathematical proofs as typically found in textbooks is that lines of reasoning are expressed in a rather condensed form by leaving out elementary and easily inferable, but logically necessary inference steps, while explaining involved ones in more detail. To date, automated proof presentation techniques are not able to deal with this issue in an adequate manner. Addressing this problem in a principled way, we describe an approach that successively enhances a logically self-contained proof at the assertion level through communicatively justified modifications of the original line of reasoning. These enhancements include expansion of involved theorem applications, omission of trivial justifications, compactification of intermediate inference steps, and broadening the scope of justifications to support focused argumentation, as in chains of inequations. Through incorporating these measurements, many proofs are presented in a shorter and better understandable fashion than in previous approaches.
机译:以足以满足人类观众需求的方式提供机器生成的证明是一项严峻的挑战。通常在教科书中发现的数学证明的一个显着特性是,通过省略基本且易于推断但在逻辑上必要的推理步骤,而更详细地解释了所涉及的推理步骤,从而以相当简洁的形式表达了推理的思路。迄今为止,自动证明演示技术无法以适当的方式处理此问题。以有原则的方式解决这个问题,我们描述了一种方法,该方法通过对原始推理方法进行合理的通信修改,在断言级别上逐步增强了逻辑上独立的证明。这些增强包括扩展所涉及的定理应用,省略平凡的证明,简化中间推理步骤,以及扩大证明的范围以支持集中论证(如不等式链中)。通过合并这些度量,以比以前的方法更短,更好理解的方式提供了许多证明。

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