帰納プログラミング
出典: フリー百科事典『ウィキペディア（Wikipedia）』 (2017/09/05 16:27 UTC 版)
帰納プログラミング (Inductive Programming, IP) は人工知能とプログラミングの研究分野をまたぐ自動プログラミングの特殊分野である．通常，入出力例や制約などの不完全な仕様からの，宣言型（論理型または関数型）言語のプログラムの学習を扱う．学習されるプログラムはしばしば再帰的である．
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- ^ Stuhlmuller, A.; Goodman, N.D. (2012). “Reasoning about reasoning by nested conditioning: Modeling theory of mind with probabilistic programs”. Cognitive Systems Research (Elsevier).
[続きの解説]
「帰納プログラミング」の続きの解説一覧
- 1 帰納プログラミングとは
- 2 帰納プログラミングの概要
- 3 応用領域
- 4 参考文献
- 5 関連項目
- 帰納プログラミングのページへのリンク
