| Book | Strengths | Padhy’s Positioning | |----------|---------------|--------------------------| | Russell & Norvig – AIMA | Depth in logic, probability, learning | Padhy is shorter, more exam-friendly, less theoretical rigor | | Goldberg – Genetic Algorithms | Only GA | Padhy integrates GA with fuzzy, neural | | Haykin – Neural Networks | Deep neural math | Padhy gives just essentials | | Negnevitsky – AI | Similar structure (soft computing focus) | Padhy has more numerical examples and Indian context |
Thus, Padhy’s book is best as a supplementary textbook for courses that need hands-on numerical problem-solving rather than pure theory.
Padhy begins with the classical definition of AI—Turing Test, rationality, and intelligent agents. He explains why AI moved from symbolic logic toward intelligent systems. | Book | Strengths | Padhy’s Positioning |
Key highlights:
Most Indian engineering colleges are subscribed to NPTEL or local digital libraries. Check your college’s DELNET or Oxford University Press (OUP) India portal. If your library has a digital license, you can download the legit PDF for free. Chapter 15: Robotics and Perception
Chapter 14: Expert Systems
Chapter 15: Robotics and Perception
Chapter 16: Natural Language Processing
Chapter 17: AI Languages and Tools