ModernApproachAIExercices

KO | EN

gitlite — search

#python #agentic-ai #automation #ai-agent #mcp-server #genpark #llm-tools #ai-agents #mcp #llm #claude-code #typescript

ModernApproachAIExercices

★ 53 Open GitHub ↗

Artificial Intelligence A Modern Approach 4th edition exercices.

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Presentation

>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 
Chapter 1 - Introduction ... 1 
Chapter 2 - Intelligent Agents ... 36

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

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

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

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

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

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

# 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/

ModernApproachAIExercices

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README