An Activity Book on Artificial Intelligence

程式設計和人工智慧入門課程的極佳教材結合故事、繪畫和練習，讓人工智慧學習變得更平易近人、有趣本書英文版獲2024年SIGDSA國際會議 最佳教學論文獎亞馬遜讀者評5顆星強力推薦楊光磊臺灣大學領導學程兼任教授／前台積電研發處處長陳縕儂 臺灣大學資訊工程學系教授施百俊國立屏東大學學術副校長國立屏東大學文化創意產業學系教授以有趣、吸引人、構思精巧的故事幫助孩子（還有成年人）了解人工智慧處理的基礎知識。幫助讀者跟上現今所處美麗新世界的AI步伐。●看故事學習：生活化的故事，輔以親切有趣插畫，輕鬆就能了解並學習AI 相關理論，幫助讀者解開許多這個最新科技背後「魔法盒」的奧秘。●挑戰遊戲練習題：每章後的習題，設計簡單，只要運用四則運算題，即可輕鬆學會入門分類演算法和模型訓練。書後並附所有習題的答案。●教導孩子們AI的核心基礎：學習邏輯與批判思考，閱讀本書練習各單元習題不需要任何電腦或是程式碼，即可清楚地帶領孩子們理解AI的核心邏輯。●適合所有對人工智慧想了解的初學者。 透過人人理解的有趣生活故事──「如何找到最合適的家庭寵物」，幫助中小學生理解AI的關鍵概念。讀者跟隨主角康康和娜娜這對兄妹一起展開尋找領養小狗的旅程「並且一步步完成我們設計的活動」便能輕鬆的理解像「機器學習」和「AI模型」這些人人朗朗上口的詞彙。 本書引導年輕讀者了解人工智慧過程的三個步驟：收集、訓練、決策。每章節結尾的習題︐能讓讀者實際運用新學到的技能。這本書所提供的AI知識與技能︐使下一代的AI原生世代能在日常生活中運用並評估AI更重要的是︐讓他們能深刻了解AI的運作原理與應用。「這本書透過一對兄妹，向身為數據科學家的母親學習這個引人入勝的故事，介紹AI的核心概念，如：訓練、權重和監督式學習。作為一名發展心理學家，我發現這種結合故事、插圖和練習的方式，讓AI變得不再令人卻步，更加親切有趣，特別適合年輕讀者。」──丹佛大學大腦、人工智慧與兒童研究中心主任 Pilyoung Kim 博士。

This 1997 book examines recent changes in the design of intelligent machines. New computer models of vision and navigation in animals suggest a different way to build machines. Cognition is viewed not just in terms of high-level 'expertise,' but in the ability to find one's way around the world, to learn new ways of seeing things, and to coordinate activity. This approach is called situated cognition. Situated Cognition differs from other purely philosophical treatises in that Clancey, an insider who has built expert systems for twenty years, explores the limitations of existing computer programs and compares them to human memory and learning capabilities. Clancey examines the implications of 'situated action' from the perspective of artificial intelligence specialists interested in building robots.

This 1997 book examines recent changes in the design of intelligent machines. New computer models of vision and navigation in animals suggest a different way to build machines. Cognition is viewed not just in terms of high-level 'expertise,' but in the ability to find one's way around the world, to learn new ways of seeing things, and to coordinate activity. This approach is called situated cognition. Situated Cognition differs from other purely philosophical treatises in that Clancey, an insider who has built expert systems for twenty years, explores the limitations of existing computer programs and compares them to human memory and learning capabilities. Clancey examines the implications of 'situated action' from the perspective of artificial intelligence specialists interested in building robots.