Inductive programming: Difference between revisions

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Revision as of 23:16, 1 February 2024 edit Mathnerd314159 (talk \| contribs) Extended confirmed users 3,251 edits change paradigms template to navbox (see Template talk:Programming paradigms#too long) ← Previous edit		Latest revision as of 11:08, 23 June 2025 edit undo RandFreeman (talk \| contribs) Extended confirmed users 1,292 edits Adding local short description: "Area of automatic programming", overriding Wikidata description "learning programs from data" Tag: Shortdesc helper
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Line 1: {{Short description\|Area of automatic programming}} '''Inductive programming''' ('''IP''') is a special area of [[automatic programming]], covering research from [[artificial intelligence]] and [[Computer programming\|programming]], which addresses [[machine learning\|learning]] of typically [[declarative programming\|declarative]] ([[logic programming\|logic]] or [[functional programming\|functional]]) and often [[recursion\|recursive]] programs from incomplete specifications, such as input/output examples or constraints. Line 118 ⟶ 119: \|journal=Computational Intelligence \|volume=30\|issue=3\|pages=473–513\|year=2014 \|doi=10.1111/coin.12004\|doi-access=free\|hdl=10251/34946\|hdl-access=free}} </ref> abstraction has also been explored as a more powerful approach to [[cumulative learning]] and function invention.<ref> {{cite journal