人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic) (Coursera)

人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic) (Coursera)
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對人工智慧無止盡的熱情; 演算法及資料結構的基礎知識; Python程式設計 (僅使用於作業部份)
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人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic) (Coursera)
本課程有兩大課程目標: 1. 使同學了解如何以搜尋達成人工智慧 2. 使同學能將相關技術應用到自己的問題上

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人工智慧分為強人工智慧及弱人工智慧。其中強人工智慧著重於模擬人類智能,而弱人工智慧則著重於類似智能的應用表現,也是這門課的重點。達成智能的表現有許多方法,其中一種快速有效的方法即為搜尋。本課程給予人工智慧一般性的介紹,並且深入探索三種常用的搜尋:不利用問題特性的uninformed search,使用問題特性的informed search,及針對零和對局的adversarial search。課程中除了講解各種搜尋的技術之外,也同時探討它們的優缺點及應用範圍,使同學易於應用其相關技術。



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Course Auditing
33.00 EUR
對人工智慧無止盡的熱情; 演算法及資料結構的基礎知識; Python程式設計 (僅使用於作業部份)

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.