Summary of Fundamentals of Artificial Intelligence

Author: Prof. K. R. Chowdhary
Publisher: Springer, 2020
Length: ~716 pages

📘 Overview

This book introduces the foundations and recent developments in Artificial Intelligence, covering logic, reasoning, learning, NLP, vision, planning, and more. Suitable for undergraduates, early graduate students, and professionals.

🧩 Key Topics & Chapters

📝 Chapter-by-Chapter Summary

ChapterFocus
1–2Understanding AI, agent models, logic foundations
3–5Formal logic, rule-based systems, Prolog
6–8Knowledge representation, semantic networks, search methods
9–11Heuristics, CSP solving, game-playing
12Probabilistic reasoning under uncertainty
13–15Machine learning, planning strategies
16–17Agent architectures, data mining
18–19Information retrieval and NLP fundamentals
20–21Speech recognition and machine vision

🌟 Highlights

✅ Ideal For

📚 References