Front cover image for Introduction to artificial intelligence

Introduction to artificial intelligence

Mariusz Flasiński (Author)
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
eBook, English, 2016
Springer, Switzerland, 2016
1 online resource (x, 321 pages)
9783319400228, 9783319400204, 3319400223, 3319400207
History of Artificial Intelligence
Symbolic Artificial Intelligence
Computational Intelligence
Search Methods
Evolutionary Computing
Logic-Based Reasoning
Structural Models of Knowledge Representation
Syntactic Pattern Analysis
Rule-Based Systems
Pattern Recognition and Cluster Analysis
Neural Networks
Reasoning with Imperfect Knowledge
Defining Vague Notions in Knowledge-Based Systems
Cognitive Architectures
Theories of Intelligence in Philosophy and Psychology
Application Areas of AI Systems
Prospects of Artificial Intelligence