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人工智能原理 北京大学
- 内容简介:
- 中国工程院院士、中国人工智能学会理事长李德毅说，“人工智能在奔跑，平均每人拥有一台服务机器人的时代终将到来。”那么，究竟什么是人工智能？人工智能的理论基础是什么？其最新的发展与应用会如何影响我们的社会、工作和生活？本课程就将系统介绍人工智能的发展历程、核心思想、基本理论与应用。
- 价格:
- 免费
课程介绍
| Part I. Basics: Chapter 1. Introduction | 1.1 Overview of Artificial Intelligence | 视频：欢迎选修本课程 |
| Part I. Basics: Chapter 1. Introduction | 1.1 Overview of Artificial Intelligence | 视频：Overview of Artificial Intelligence |
| Part I. Basics: Chapter 1. Introduction | 1.2 Foundations of Artificial Intelligence | 视频：Foundations of Artificial Intelligence |
| Part I. Basics: Chapter 1. Introduction | 1.3 History of Artificial Intelligence | 视频：History of Artificial Intelligence |
| Part I. Basics: Chapter 1. Introduction | 1.4 The State of The Art | 视频：The State of The Art |
| Part I. Basics: Chapter 2. Intelligent Agent | 2.1 Approaches for Artificial Intelligence | 视频：Approaches for Artificial Intelligence |
| Part I. Basics: Chapter 2. Intelligent Agent | 2.2 Rational Agents | 视频：Rational Agents |
| Part I. Basics: Chapter 2. Intelligent Agent | 2.3 Task Environments | 视频：Task Environments |
| Part I. Basics: Chapter 2. Intelligent Agent | 2.4 Intelligent Agent Structure | 视频：Intelligent Agent Structure |
| Part I. Basics: Chapter 2. Intelligent Agent | 2.5 Category of Intelligent Agents | 视频：Category of Intelligent Agents |
| Part II. Searching: Chapter 3. Solving Problems by Search | 3.1 Problem Solving Agents | 视频：Problem Solving Agents |
| Part II. Searching: Chapter 3. Solving Problems by Search | 3.2 Example Problems | 视频：Example Problems |
| Part II. Searching: Chapter 3. Solving Problems by Search | 3.3 Searching for Solutions | 视频：Searching for Solutions |
| Part II. Searching: Chapter 3. Solving Problems by Search | 3.4 Uninformed Search Strategies | 视频1：Breadth-first Search |
| Part II. Searching: Chapter 3. Solving Problems by Search | 3.4 Uninformed Search Strategies | 视频2：Uniform-cost Search |
| Part II. Searching: Chapter 3. Solving Problems by Search | 3.4 Uninformed Search Strategies | 视频3：Depth-first Search |
| Part II. Searching: Chapter 3. Solving Problems by Search | 3.4 Uninformed Search Strategies | 视频4：Variants of Depth-first Search |
| Part II. Searching: Chapter 3. Solving Problems by Search | 3.4 Uninformed Search Strategies | 视频5：Bidirectional Search |
| Part II. Searching: Chapter 3. Solving Problems by Search | 3.4 Uninformed Search Strategies | 视频6：Comparing Uninformed Search Strategies |
| Part II. Searching: Chapter 3. Solving Problems by Search | 3.5 Informed Search Strategies | 视频1：Best-first Search&Greedy Search |
| Part II. Searching: Chapter 3. Solving Problems by Search | 3.5 Informed Search Strategies | 视频2：A* Search&Iterative Deepening A* Search |
| Part II. Searching: Chapter 3. Solving Problems by Search | 3.6 Heuristic Functions | 视频：Heuristic Functions |
| Part II. Searching: Chapter 4. Local Search and Swarm Intelligence | 4.1 Overview | 视频：Overview |
| Part II. Searching: Chapter 4. Local Search and Swarm Intelligence | 4.2 Local Search Algorithms | 视频1：Hill-Climbing Search |
| Part II. Searching: Chapter 4. Local Search and Swarm Intelligence | 4.2 Local Search Algorithms | 视频2：Local Beam Search |
| Part II. Searching: Chapter 4. Local Search and Swarm Intelligence | 4.2 Local Search Algorithms | 视频3：Tabu Search |
| Part II. Searching: Chapter 4. Local Search and Swarm Intelligence | 4.3 Optimization and Evolutionary Algorithms | 视频：Optimization and Evolutionary Algorithms |
| Part II. Searching: Chapter 4. Local Search and Swarm Intelligence | 4.4 Swarm Intelligence and Optimization | 视频：Swarm Intelligence and Optimization |
| Part II. Searching: Chapter 5. Adversarial Search | 5.1 Games | 视频：Games |
| Part II. Searching: Chapter 5. Adversarial Search | 5.2 Optimal Decisions in Games | 视频：Optimal Decisions in Games |
| Part II. Searching: Chapter 5. Adversarial Search | 5.3 Alpha-Beta Pruning | 视频：Alpha-Beta Pruning |
| Part II. Searching: Chapter 5. Adversarial Search | 5.4 Imperfect Real-time Decisions | 视频：Imperfect Real-time Decisions |
| Part II. Searching: Chapter 5. Adversarial Search | 5.5 Stochastic Games | 视频：Stochastic Games |
| Part II. Searching: Chapter 5. Adversarial Search | 5.6 Monte-Carlo Methods | 视频：Monte-Carlo Methods |
| Part II. Searching: Chapter 6. Constraint Satisfaction Problem | 6.1 Constraint Satisfaction Problems (CSPs) | 视频：Constraint Satisfaction Problems (CSPs) |
| Part II. Searching: Chapter 6. Constraint Satisfaction Problem | 6.2 Constraint Propagation: Inference in CSPs | 视频：Constraint Propagation: Inference in CSPs |
| Part II. Searching: Chapter 6. Constraint Satisfaction Problem | 6.3 Backtracking Search for CSPs | 视频：Backtracking Search for CSPs |
| Part II. Searching: Chapter 6. Constraint Satisfaction Problem | 6.4 Local Search for CSPs | 视频：Local Search for CSPs |
| Part II. Searching: Chapter 6. Constraint Satisfaction Problem | 6.5 The Structure of Problems | 视频：The Structure of Problems |
| Part III. Reasoning: Chapter 7. Reasoning by Knowledge | 7.1 Overview | 视频：Overview |
| Part III. Reasoning: Chapter 7. Reasoning by Knowledge | 7.2 Knowledge Representation | 视频：Knowledge Representation |
| Part III. Reasoning: Chapter 7. Reasoning by Knowledge | 7.3 Representation using Logic | 视频：Representation using Logic |
| Part III. Reasoning: Chapter 7. Reasoning by Knowledge | 7.4 Ontological Engineering | 视频：Ontological Engineering |
| Part III. Reasoning: Chapter 7. Reasoning by Knowledge | 7.5 Bayesian Networks | 视频：Bayesian Networks |
| Part IV. Planning: Chapter 8. Classic and Real-world Planning | 8.1 Planning Problems | 视频：Planning Problems |
| Part IV. Planning: Chapter 8. Classic and Real-world Planning | 8.2 Classic Planning | 视频：Classic Planning |
| Part IV. Planning: Chapter 8. Classic and Real-world Planning | 8.3 Planning and Scheduling | 视频：Planning and Scheduling |
| Part IV. Planning: Chapter 8. Classic and Real-world Planning | 8.4 Real-World Planning | 视频：Real-World Planning |
| Part IV. Planning: Chapter 8. Classic and Real-world Planning | 8.5 Decision-theoretic Planning | 视频：Decision-theoretic Planning |
| Part V. Learning: Chapter 9. Perspectives about Machine Leaning | 9.1 What is Machine Learning | 视频：What is Machine Learning |
| Part V. Learning: Chapter 9. Perspectives about Machine Leaning | 9.2 History of Machine Learning | 视频：History of Machine Learning |
| Part V. Learning: Chapter 9. Perspectives about Machine Leaning | 9.3 Why Different Perspectives | 视频：Why Different Perspectives |
| Part V. Learning: Chapter 9. Perspectives about Machine Leaning | 9.4 Three Perspectives on Machine Learning | 视频：Three Perspectives on Machine Learning |
| Part V. Learning: Chapter 9. Perspectives about Machine Leaning | 9.5 Applications and Terminologies | 视频：Applications and Terminologies |
| Part V. Learning: Chapter 10. Tasks in Machine Learning | 10.1 Classification | 视频：Classification |
| Part V. Learning: Chapter 10. Tasks in Machine Learning | 10.2 Regression | 视频：Regression |
| Part V. Learning: Chapter 10. Tasks in Machine Learning | 10.3 Clustering | 视频：Clustering |
| Part V. Learning: Chapter 10. Tasks in Machine Learning | 10.4 Ranking | 视频：Ranking |
| Part V. Learning: Chapter 10. Tasks in Machine Learning | 10.5 Dimensionality Reduction | 视频：Dimensionality Reduction |
| Part V. Learning: Chapter 11. Paradigms in Machine Learning | 11.1 Supervised Learning Paradigm | 视频 :Supervised Learning Paradigm |
| Part V. Learning: Chapter 11. Paradigms in Machine Learning | 11.2 Unsupervised Learning Paradigm | 视频：Unsupervised Learning Paradigm |
| Part V. Learning: Chapter 11. Paradigms in Machine Learning | 11.3 Reinforcement Learning Paradigm | 视频：Reinforcement Learning Paradigm |
| Part V. Learning: Chapter 11. Paradigms in Machine Learning | 11.4 Other Learning Paradigms | 视频：Other Learning Paradigms |
| Part V. Learning: Chapter 12. Models in Machine Learning | 12.1 Probabilistic Models | 视频：Probabilistic Models |
| Part V. Learning: Chapter 12. Models in Machine Learning | 12.2 Geometric Models | 视频：Geometric Models |
| Part V. Learning: Chapter 12. Models in Machine Learning | 12.3 Logical Models | 视频：Logical Models |
| Part V. Learning: Chapter 12. Models in Machine Learning | 12.4 Networked Models | 视频：Networked Models |
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