Presentation

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Exercices from the book Artificial Intelligence : A Modern Approach 4th edition. I'm currently reading this book and I will be pushing the exercices in each chapter once I finish. There is 28 chapters in the book and roughly 20 exercices per chapters.

<pre><code>ModernApproachAIExercices/ ├── exercices/ │ ├── 1_Artificial_Intelligence/ │ │ ├── 1_Introduction/ │ │ └── 2_Intelligent_Agent/ │ ├── 2_Problem-solving/ │ │ ├── 3_Solving_Problems_By_Searching/ │ │ ├── 4_Beyond_Classical_Search/ │ │ ├── 5_Adversarial_Search/ │ │ └── 6_Constraint_Satisfaction_Problems/ │ ├── 3_Knowledge_reasoning_planning/ │ ├── 4_Uncertain_knowledge_reasoning/ │ ├── 5_Learning/ │ │ ├── 18_Learning_From_Examples/ │ │ ├── 19_Knowledge_In_Learning/ │ │ ├── 20_Learning_Probabilistic_Models/ │ │ └── 21_Reinforcement_Learning │ ├── 6_Communicating_perceiving_and_acting/ │ │ ├── 22_Natural_Language_Processing/ │ │ └── 23_Natural_Language_For_Communication/ │ └── 7_Conclusions/ └── README.md </pre></code>

Book's chapter

Part I: Artificial Intelligence<br> Chapter 1 - Introduction ... 1<br> Chapter 2 - Intelligent Agents ... 36<br>

Part II: Problem-solving<br> Chapter 3 - Solving Problems by Searching ... 63<br> Chapter 4 - Search in Complex Environments ... 110<br> Chapter 5 - Adversarial Search and Games ... 146<br> Chapter 6 - Constraint Satisfaction Problems ... 180<br>

Part III: Knowledge, reasoning, and planning<br> Chapter 7 - Logical Agents ... 208<br> Chapter 8 - First-Order Logic ... 251<br> Chapter 9 - Inference in First-Order Logic ... 280<br> Chapter 10 - Knowledge Representation ... 314<br> Chapter 11 - Automated Planning ... 344<br>

Part IV: Uncertain knowledge and reasoning<br> Chapter 12 - Quantifying Uncertainty ... 385<br> Chapter 13 - Probabilistic Reasoning ... 412<br> Chapter 14 - Probabilistic Reasoning over Time ... 461<br> Chapter 15 - Probabilistic Programming ... 500<br> Chapter 16 - Making Simple Decisions ... 528<br> Chapter 17 - Making Complex Decisions ... 562<br> Chapter 18 - Multiagent Decision Making ... 599<br>

Part V: Machine Learning<br> Chapter 19 - Learning from Examples ... 651<br> Chapter 20 - Learning Probabilistic Models ... 721<br> Chapter 21 - Deep Learning ... 750<br> Chapter 22 - Reinforcement Learning ... 789<br>

Part VI: Communicating, perceiving, and acting<br> Chapter 23 - Natural Language Processing ... 823<br> Chapter 24 - Deep Learning for Natural Language Processing ... 856<br> Chapter 25 - Computer Vision ... 881<br> Chapter 26 - Robotics ... 925<br>

Part VII: Conclusions<br> Chapter 27 - Philosophy, Ethics, and Safety of AI ... 981<br> Chapter 28 - The Future of AI ... 1012<br>

Links

• Book : https://www.pearson.com/us/higher-education/program/Russell-Artificial-Intelligence-A-Modern-Approach-4th-Edition/PGM1263338.html
• Exercices : https://aimacode.github.io/aima-exercises/
• Resources : http://aima.cs.berkeley.edu/