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EntityQ484511· pop 69· linked from 868 articles

帰納

Also known as induction, inductive logic, inductive analysis, solving a problem starting with what you know already

個別的・特殊的な事例から一般的・普遍的な規則・法則を見出そうとする論理的推論の方法

AI overview

Inductive reasoning is a method where you observe many specific examples and use those observations to develop a general rule or principle that explains them. It matters because it's how we often learn patterns from experience and form working theories about how the world works, though conclusions reached this way aren't guaranteed to be true.

AI-generated from the Wikipedia summary — may contain errors.

In the Vinony graph

Within Vinony's link graph, 帰納 is referenced by 868 other articles, and connects out to reason, Charles Sanders Peirce and median.

It is catalogued under topics including Arguments, Causal inference and Concepts in epistemology.

Its subject is documented across 66 Wikipedia language editions.

Wikidata facts

Subclass of: reasoning
Part of: logic

Show 5 more facts

topic's main category: Category:Inductive reasoning
Commons category: Inductive reasoning
opposite of: deductive reasoning
different from: magnetic flux density
has characteristic: generalization

Sources (5)

via Wikidata · CC0

Article · 日本語

帰納（きのう、英: Induction、希: επαγωγή（エパゴーゲー））とは、個別的・特殊的な事例から一般的・普遍的な規則・法則を見出そうとする論理的推論の方法のこと。演繹においては前提が真であれば結論も必然的に真であるが、帰納においては前提が真であるからといって結論が真であることは保証されない。なお数学的帰納法・構造的帰納法・整礎帰納法・完全帰納法・・超限帰納法などの帰納法は、名前と違い帰納ではなく演繹である。

Abstract from DBpedia / Wikipedia · CC BY-SA