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National Taiwan University

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

National Taiwan University via Coursera


本課程分為人工智慧(上)、人工智慧(下)兩部份,第一部分除了人工智慧概論外,著重在目標搜尋、meta heuristic、電腦對弈、演繹學習(包含證言邏輯、一階邏輯及 planning )等技術。這些技術主要發展時機為人工智慧的第一波及第二波熱潮,也就是 1950 年代至 1990 年代附近的主流發展,即使到現在也在各個領域廣為應用。 課程教學目標: 使同學對人工智慧有基礎概念 同學能夠理解如何運用目標搜尋技術及演繹學習方式達成人工智慧 同學能將相關技術應用到自己的問題上


  • Introduction
  • Uninformed search
  • Informed search
  • Non-classic search
  • Adversarial search
  • Propositional Logic
  • First Order Logic
  • Planning

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4.8 rating at Coursera based on 284 ratings

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