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Artificial Intelligence
0
Zitationen
6
Autoren
2026
Jahr
Abstract
Artificial Intelligence is a comprehensive academic textbook designed to provide students, educators, researchers, and technology enthusiasts with a strong foundation in the rapidly evolving field of AI. Authored by experienced academicians and industry professionals, this book presents core concepts, theoretical principles, and practical applications of Artificial Intelligence in a clear, structured, and learner-friendly format. It serves as an essential resource for engineering, computer science, data science, and technology-related academic programs. The book systematically covers major topics such as the history and foundations of Artificial Intelligence, intelligent agents, problem-solving techniques, search algorithms, heuristic methods, minimax and alpha-beta pruning, knowledge representation, logical reasoning, planning systems, uncertain knowledge, probabilistic reasoning, Bayes’ theorem, Bayesian networks, and machine learning fundamentals. Real-world examples, diagrams, and problem-solving models are included to help readers understand how AI systems operate in practical environments. Special emphasis is given to balancing theoretical understanding with modern applications across healthcare, finance, robotics, education, transportation, cybersecurity, and automation. The text also introduces readers to emerging domains such as Generative AI, Explainable AI, deep learning, and ethical AI, making it highly relevant for present-day learners and professionals. Written in accessible language with organized chapter progression, Artificial Intelligence is ideal for undergraduate and postgraduate students, faculty members, self-learners, and professionals seeking career advancement in intelligent technologies. This book is a valuable reference for university courses, competitive exams, certification programs, research preparation, and skill development in AI-driven industries. It empowers readers with analytical thinking, computational intelligence, and the technical knowledge required for the future of smart systems and digital innovation.
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