Introduction to Artificial Intelligence [2016]
Introduction to Artificial Intelligence by Mariusz Flasiński 2016 | ISBN: 3319400207 | English | 321 pages | PDF | 6 MB 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.
- richyrichy2016-11-28This is a concise textbook for the big topic of AI. However, it's good to learn the basic idea of AI with a shorter time and less pages. Some of the content may be not very clearly explained so readers may need to refer to other resources for details.
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