Solved Exercises and Practice Problems for Artificial Intelligence: A Modern Approach (4th Edition)
As of 2026, Stuart Russell and Peter Norvig’s Artificial Intelligence: A Modern Approach (AIMA) remains the “gold standard” for AI education. While the field has shifted toward Large Language Models (LLMs) and Generative AI, the foundational principles—search, logic, and probability—are more critical than ever for understanding how these massive systems operate.
This guide provides solved exercises and practice problems organized by the textbook’s core themes, designed to help students master the logic behind the algorithms.
1. Intelligent Agents & Problem Solving (Chapters 2–6)
The “Agent” is the central protagonist of AIMA. To understand an agent, you must first define its PEAS (Performance, Environment, Actuators, Sensors).
Solved Exercise: PEAS for a 2026 Autonomous Medical Drone
Problem: Define the PEAS for a drone designed to deliver emergency medical supplies in a dense urban environment.
- Performance Measure: Delivery speed, safety (avoiding collisions), battery efficiency, and success rate of package integrity.
- Environment: Urban airspace,