Complete Guide to Artificial Intelligence and Intelligent Systems by N.P. Padhy
: A dedicated chapter covers the programming languages essential for constructing problem-solving AI programs.
Intelligent Systems are a broader concept that encompasses AI, as well as other related fields, such as: At the heart of early and modern AI
Exploring evolutionary computing techniques used to solve complex optimization problems by mimicking natural selection.
At the heart of early and modern AI lies the concept of state-space search. When an AI agent encounters a problem, it must navigate through various possibilities (states) to find a solution. Padhy categorizes these search techniques into two fundamental types: Uninformed (Blind) Search For a machine to reason, it must possess
Beyond classical AI, it provides deep dives into specialized "Intelligent Systems" such as swarm intelligence and evolutionary computation.
For a machine to reason, it must possess a structured model of the world. A significant portion of Artificial Intelligence and Intelligent Systems focuses on the formalisms of knowledge representation. and neural networks
: In-depth coverage of expert systems, fuzzy logic, artificial neural networks, and nature-inspired algorithms like genetic and ant colony optimization. AI Programming
, is a comprehensive textbook for engineering students covering foundational AI concepts, search techniques, and neural networks