Textbook exercises by chapter - A Modern Approach to AI

Textbook chapter exercises¶

Each page is the full Exercise C.N set for that Artificial Intelligence: A Modern Approach 4e chapter, as published in the book’s aima exercises/chNN tree and inlined here for the course site.

Assignments overview — GitHub Classroom, Codespaces, and policies.
Chapter 1: Introduction
Chapter 2: Intelligent Agents
Chapter 3: Solving Problems by Searching
Chapter 4: Search in Complex Environments
Chapter 5: Adversarial Search and Games
Chapter 6: Constraint Satisfaction Problems
Chapter 7: Logical Agents
Chapter 8: First-Order Logic
Chapter 9: Inference in First-Order Logic
Chapter 10: Knowledge Representation
Chapter 11: Automated Planning
Chapter 12: Quantifying Uncertainty
Chapter 13: Probabilistic Reasoning
Chapter 14: Probabilistic Reasoning over Time
Chapter 15: Probabilistic Programming
Chapter 16: Making Simple Decisions
Chapter 17: Making Complex Decisions
Chapter 18: Multiagent Decision Making
Chapter 19: Learning from Examples
Chapter 20: Learning Probabilistic Models
Chapter 21: Deep Learning
Chapter 22: Reinforcement Learning
Chapter 23: Natural Language Processing
Chapter 24: Deep Learning for Natural Language Processing
Chapter 25: Computer Vision
Chapter 26: Robotics
Chapter 27: Philosophy, Ethics, and Safety of AI
Chapter 28: The Future of AI