Introduction to Artificial Intelligence - Hardback

In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers. The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader.

• | Author: Mariusz Flasiński
• | Publisher: Springer
• | Publication Date: Jul 21, 2016
• | Number of Pages: 321 pages
• | Binding: Hardback or Cased Book
• | ISBN-10: 3319400207
• | ISBN-13: 9783319400204