Affordance information is one of the most important information in KR (Knowledge Representation). An organism acquires affordance information by itself, but much information analysis is necessary for artificial intelligence to recognize it. *
"Action indicators" in biology, "affordance" in ecological cognitive science, and "knowledge representation" in artificial intelligence refer to almost the same thing. AI can assemble actions on objects depending on affordance information.
■References (Books, papers, Web articles, etc.)
『アフォーダンス入門――知性はどこに生まれるか』 佐々木 正人 二〇〇八年
『人工知能のための哲学塾』 第二夜・第四章 人工知能における主体と客体 三宅 陽一郎 二〇一六年
「デジタルゲームのための人工知能の基礎理論」 三宅 陽一郎 日本バーチャルリアリティ学会誌 、VOL.18 NO.3、二〇一三年 http://journal.vrsj.org/18-3/s28-33.pdf
*: If the object side presents the information, then AI will be able to significantly reduce the processing of the difficult part with increased accuracy. It is sometimes difficult to make robots to find a place to sit on.
★If you interested in this text, please have the following ebook at hand. For that, Click on the URL below.
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★This article is a piece of "knowledge card" that makes up iCardbook, IAI meets Philosophy: how to design the Game AI (Yoichiro Miyake).
iCardbook, a card-type specialized book that organizes “Knowledge Cards” is a new form of book in the smartphone age.
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■References list of "AI meets Philosophy: how to design the Game AI"
