This textbook provides a unified overview of artificial intelligence, combining logic-based and probabilistic methods, as well as continuous mathematics. It covers intelligent agents, search algorithms, knowledge representation, planning, learning, and robotics. Suitable for advanced undergraduates and graduate students, the book presents AI as a coherent scientific field supported by theory an…
This textbook provides a broad and unified introduction to the field of artificial intelligence. It integrates symbolic logic-based approaches with probabilistic and neural network methods, offering both theoretical background and practical applications.