Artificial Intelligence
Abstract
Artificial Intelligence is a comprehensive academic textbook that presents a clear and structured introduction to the principles, techniques, and applications of AI. The book systematically covers foundational topics such as intelligent search, problem solving, logic and reasoning, knowledge representation, expert systems, machine learning, neural networks, and natural language processing, progressing from basic concepts to advanced methodologies. Written with a strong balance between theory and practice, it includes algorithms, examples, diagrams, and real-world applications to enhance conceptual understanding. Designed primarily for undergraduate and postgraduate students of Computer Science, Artificial Intelligence, and related engineering disciplines, it also serves as a valuable reference for researchers, educators, and professionals. The content is aligned with modern curricula and emphasizes analytical thinking, ethical considerations, and practical relevance. This book acts as a solid learning resource and a foundational guide for further study and innovation in the rapidly evolving field of Artificial Intelligence.
Fields of Study & Subjects
Internet of Things and AI
Knowledge Management and Technology
Artificial Intelligence Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 January 2026
- Language
- EN
- Document type
- Book