Artificial Intelligence: A Textbook provides a comprehensive introduction to the principles and practices of modern AI, making it an essential resource for students, educators, and professionals in computer science, engineering, and related fields. This hardcover edition presents complex AI topics in a clear and structured manner, combining theoretical foundations with real-world applications.

The book covers a broad range of AI concepts, including intelligent agents, search algorithms, problem-solving techniques, logic and reasoning, knowledge representation, planning, natural language processing (NLP), machine learning, and robotics. Designed to be accessible yet rigorous, it bridges the gap between foundational theory and practical implementation.

Whether you're preparing for academic coursework, a university exam, or seeking to build a strong foundational understanding of AI technologies, this textbook is your go-to guide. It emphasizes clarity, visual learning through diagrams and examples, and a step-by-step approach to mastering AI techniques.

📘 Key Features:

• Comprehensive coverage of core AI topics including intelligent agents, search strategies, reasoning, planning, and machine learning.
• Real-world applications across robotics, NLP, and expert systems.
• Ideal for undergraduate and postgraduate students in computer science and engineering.
• Clear explanations with diagrams, examples, and practice exercises.
• Written by experts in artificial intelligence and academic instruction.
• Hardcover edition for durability and long-term academic use.

👨‍🎓 Who This Book Is For:

• Undergraduate and graduate students in computer science and engineering.
• AI and machine learning beginners seeking structured knowledge.
• Instructors and educators designing AI-focused courses.
• Professionals transitioning into AI-related roles or upskilling.