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ISBN: 9783319400228
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ISBN: 9783319400228
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 suc… Altro …
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ISBN: 9783319400228
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 suc… Altro …
ISBN: 9783319400228
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 suc… Altro …
2016
ISBN: 9783319400228
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 suc… Altro …
ISBN: 9783319400228
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 suc… Altro …
ISBN: 9783319400228
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 suc… Altro …
Dati bibliografici del miglior libro corrispondente
Informazioni dettagliate del libro - Introduction to Artificial Intelligence Mariusz Flasinski Author
EAN (ISBN-13): 9783319400228
Anno di pubblicazione: 8
Editore: Springer International Publishing Digital >16
Libro nella banca dati dal 2017-04-09T22:56:12+02:00 (Zurich)
Pagina di dettaglio ultima modifica in 2023-12-07T17:06:28+01:00 (Zurich)
ISBN/EAN: 9783319400228
ISBN - Stili di scrittura alternativi:
978-3-319-40022-8
Stili di scrittura alternativi e concetti di ricerca simili:
Titolo del libro: ski, artificial intelligence
Dati dell'editore
Autore: Mariusz Flasiński
Titolo: Introduction to Artificial Intelligence; Wstęp do sztucznej inteligencji
Editore: Springer; Springer International Publishing
321 Pagine
Anno di pubblicazione: 2016-08-31
Cham; CH
Lingua: Inglese
64,19 € (DE)
66,00 € (AT)
71,00 CHF (CH)
Available
X, 321 p. 70 illus.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Artificial Intelligence (AI); Computational Intelligence (CI); Description Logic (DL); Evolutionary Computing (EC); Heuristics; Knowledge Representation (KR); Knowledge-Based Systems (KBS); Neural Networks; Pattern Recognition; Reasoning; Rule-Based Systems; Search; B; Artificial Intelligence; Computational Intelligence; Data Mining and Knowledge Discovery; Computer Science; Data Mining; Wissensbasierte Systeme, Expertensysteme; BB
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.
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.
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.
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.
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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