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With the advent of modern technology, AI has become a part of day-to-day life. This accentuates the need for a book that keeps abreast of all state-of-the-art concepts in a simplified, explicit and elegant way, and that includes ample examples so that those new to the subject are able to comprehend the subject with ease. Divided into 21 chapters, this text fulfils this need. It presents all relevant concepts in a simplified way so that readers understand the basic concepts and develop the knowledge that can contribute to the building of advanced intelligent systems. Coverage includes problem solving, search techniques, intelligent agents, constraint satisfaction problems, knowledge representation, planning, machine learning, natural language processing, pattern recognition, game playing, hybrid and fuzzy systems, neural network-based learning and future trends. This textbook is an invaluable learning tool for undergraduate and postgraduate students of computer science and engineering, and information technology.