Introduction to Artificial Intelligence (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	July 2016
First published:	2016
Authors:	Mariusz Flasinski
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Hardcover
Pages:	321
Edition:	1st ed. 2016
ISBN-13:	978-3-319-40020-4
Languages:	English
Subtitles:	Polish
Categories:	Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-40020-7
Barcode:	9783319400204

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