Problem Formulation: State, Actions, Transition model, Goal test, Path cost.

Example: 8-Puzzle, Route finding

Uninformed Search Algorithms (blind):

AIMA 3e emphasizes avoiding repeated states (graph search).


Slide 10: Logical Agents (Chapter 7)

Slide 11: Propositional Logic

Slide 12: First-Order Logic (Chapter 8)

Slide 13: Knowledge Representation


When it comes to understanding the sprawling, electrifying field of artificial intelligence, one book stands as the undisputed cornerstone: Russell and Norvig’s Artificial Intelligence: A Modern Approach. But let’s be honest—absorbing over 1,100 pages of intelligent agents, constraint satisfaction, and probabilistic reasoning is no small feat.

That’s where the Third Edition PowerPoint slide deck transforms from a simple teaching aid into your cognitive co-pilot.

For chapters on problem-solving (Chapters 3-5), static text is useless. Excellent PPTs contain animated BFS, DFS, A, and Hill Climbing* diagrams. Look for slides that show step-by-step node expansion.