Introduction to Artificial Intelligence — Complete Study Guide

A comprehensive, exam-ready guide to foundational Artificial Intelligence concepts: intelligent agents and PEAS, uninformed and informed search (BFS, DFS, A), knowledge representation and logic, probabilistic reasoning, the three major machine learning paradigms, a conceptual introduction to neural networks, and AI ethics. Includes fully worked problems (including a classic search-problem formulation and an A trace), comparison tables distinguishing commonly confused concepts, a 20-term glossary, and 18 original practice questions with detailed expla-nations. Designed for students in an intro AI course who need to understand the ideas behind the algorithms, not just how to call a library — ideal exam and interview prep.