Slide 22: Perception (Chapter 24)

Slide 23: Robotics (Chapter 25)

Slide 24: Philosophical Foundations (Chapter 26)

This outline covers the core pillars of the book: Search, Logic, Planning, and Learning.

Definition: Improving performance on task T, measured by P, via experience E.

Three major families:

AIMA 3e covers Decision Trees, Neural Nets, Bayesian Learning, and RL.

The best PPTs start with "Intelligent Agents" (Chapter 2). Slides should visually break down:

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).