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Generalization v. (Induction v. Abduction)

机译:概括c。 (诱导。绑架)

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摘要

In this position paper, some differences between inductive reasoning and abduction are investigated. From an epistemological point of view, abductive reasoning is related to the non-deductive inference of explanations (which are often required to be basic facts) that, together with some background theory, allow a specific observation to be deduced or nonmonotonically inferred. In the Artificial Intelligence domain, an important family of inductive reasonings consists in inferring rules that generalize a series of examples. In this paper, the focus is on a distinction between induction and abduction that is traced back to the various possible natures of generalization. Afore precisely, it is shown that generalization from examples is sometimes performed just using deduction, although the resulting process is correctly interpreted as inductive reasoning. On the contrary, most authors would not classify corresponding forms of deductive explanation as abductive ones
机译:在本立场文件中,研究了归纳推理和绑架之间的一些差异。从认识论的观点来看,归纳推理与对解释的非演绎推论(通常需要作为基本事实)相关联,该解释与某些背景理论一起允许推论或非单调地推论特定的观察结果。在人工智能领域,归纳推理的一个重要家族在于推断规则,该规则概括了一系列示例。在本文中,重点是归纳和绑架之间的区别,这种区别可以追溯到概括的各种可能性质。准确地说,已显示出有时仅通过演绎即可对示例进行概括,尽管将所得过程正确地解释为归纳推理。相反,大多数作者不会将演绎解释的相应形式归类为演绎形式。

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