Overview
- Fundamental ideas of artificial intelligence and computational intelligence explained for students of computer science, engineering, and cognitive science
- Mathematical formalisms included in the appendices
- Biographical and historical footnotes demonstrate the field's interdisciplinary character
- Includes supplementary material: sn.pub/extras
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Table of contents (17 chapters)
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Front Matter
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Fundamental Ideas of Artificial Intelligence
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Front Matter
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Artificial Intelligence Methods
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Front Matter
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Selected Issues in Artificial Intelligence
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Front Matter
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Keywords
About this book
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.
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Authors and Affiliations
About the author
Mariusz Flasiński is a Full Professor in the Dept. of Information Technology Systems of the Jagiellonian University in Cracow, Poland. His research interests include artificial intelligence, computational intelligence, pattern recognition and image processing, and information management. He is a member of the Geoinformatics Commission of the Polish Academy of Arts and Sciences.
Bibliographic Information
Book Title: Introduction to Artificial Intelligence
Authors: Mariusz Flasiński
DOI: https://doi.org/10.1007/978-3-319-40022-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-40020-4Published: 21 July 2016
Softcover ISBN: 978-3-319-82016-3Published: 07 June 2018
eBook ISBN: 978-3-319-40022-8Published: 31 August 2016
Edition Number: 1
Number of Pages: X, 321
Number of Illustrations: 70 b/w illustrations
Additional Information: Based on a translation from the Polish language edition: Wstęp do sztucznej inteligencji by Mariusz Flasiński, © Wydawnictwo Naukowe PWN 2011. All Rights Reserved.
Topics: Artificial Intelligence, Computational Intelligence, Data Mining and Knowledge Discovery