Artificial Intelligence

This textbook offers a comprehensive introduction to Artificial Intelligence (AI) for CSE AI & ML Data Science and IT students. It begins with the foundations history and evolution of AI. - Concepts of intelligent agents rationality and problem formulation are explained- Classical and heuristic search strategies including A* AO* and game-playing algorithms are discussed.- Game theory methods such as minimax adversarial search and alpha–beta pruning are included.- Knowledge representation is covered through predicate logic semantic nets frames and rule-based systems.- The book explores reasoning under uncertainty using probability Bayesian inference and Dempster–Shafer theory.- Logical reasoning with first-order logic unification resolution and learning paradigms is emphasized.- Machine learning methods such as decision trees statistical learning and reinforcement learning are presented.- Expert systems their architecture heuristics and case studies like MYCIN DART and XCON conclude the coverage.Overall the textbook aims to equip students with both theoretical foundations and practical insights for solving real-world AI problems.