Introduction to Artificial Intelligence

AvMariusz Flasiński

Häftad, Engelska, 2018

658 kr

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Beskrivning

In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. 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.

Produktinformation

Utgivningsdatum:2018-06-07
Mått:155 x 235 x 19 mm
Vikt:505 g
Format:Häftad
Språk:Engelska
Antal sidor:321
Förlag:Springer International Publishing AG
ISBN:9783319820163
Originaltitel:Wstęp do sztucznej inteligencji

Utforska kategorier

Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Mer om författaren

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.

Recensioner i media

“The book is very useful for computer science, engineering, and allied science students, particularly because of the extensive appendices giving formal mathematical models for AI methods. However, because AI is a multi-disciplinary area today, students and researchers from disciplines like psychology, philosophy, and linguistics who are interested in studying and researching AI further will also benefit from using this book for a first AI course … .” (C. S. Arora, Computing Reviews, January, 2017)

Innehållsförteckning

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.