Inside Agent Architecture, there are six basic intelligence modules (elements).
These are "sensors," "memory," "recognition, "decision-making," "action generation," "effectors". *
Both in games and in robotics, autonomous AI has a structure more or less similar to those above.
■References (Books, papers, Web articles, etc.)
Artificial Intelligence: A Modern Approach, Global Edition (English Edition) 3rd Edition S.J.Russell, P.Norvig Pearson Education India; 3rd edition (October 14, 2015)
『デジタルゲームの教科書 知っておくべきゲーム業界最新トレンド』 第二十三章 デジタルゲームAI 三宅 陽一郎 二〇一〇年
「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
「人工知能は身体を欲している？」：新刊『人工知能のための哲学塾』第零夜（中編） 三宅陽一郎 二〇一六年 https://www.fuze.dj/2016/09/ai-philosophy2.html
*: "Sensors" are senses that collect information from the world surrounding it. "Recognition" is to form the recognition of the situation from the collected information, centered on itself. "Decision-making" is to decide the guideline of the action from there. "Action generation" is to actually form the action according to the guideline. "Effectors" are physical existences that can influence the world surrounding it. "Memory" stores each module of those. These modules work together to form a single intelligence. Such a design is called Modular design.
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■References list of "AI meets Philosophy: how to design the Game AI"
