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Mariusz Flasi¿ski:

Introduction to Artificial Intelligence - gebonden uitgave, pocketboek

2016, ISBN: 3319400207

[EAN: 9783319400204], Neubuch, [SC: 0.0], [PU: Springer International Publishing], DATA MINING (EDV); INTELLIGENZ / KÜNSTLICHE INTELLIGENZ; KI; - AI; ARTIFICIALINTELLIGENCE(AI); COMPUTATI… Meer...

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Introduction to Artificial Intelligence | Mariusz Flasi¿ski | Buch | HC runder Rücken kaschiert | X | Englisch | 2016 | Springer International Publishing | EAN 9783319400204 - Flasi¿ski, Mariusz
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Flasi¿ski, Mariusz:

Introduction to Artificial Intelligence | Mariusz Flasi¿ski | Buch | HC runder Rücken kaschiert | X | Englisch | 2016 | Springer International Publishing | EAN 9783319400204 - gebonden uitgave, pocketboek

2016, ISBN: 9783319400204

[ED: Gebunden], [PU: Springer International Publishing], In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computationa… Meer...

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2016

ISBN: 3319400207

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… Meer...

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Flasi¿ski, Mariusz:
Introduction to Artificial Intelligence - gebonden uitgave, pocketboek

2016, ISBN: 3319400207

1st ed. 2016 Gebundene Ausgabe Data Mining (EDV), Intelligenz / Künstliche Intelligenz, KI, Künstliche Intelligenz - AI, Data Mining, Künstliche Intelligenz, ArtificialIntelligence(AI);… Meer...

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Flasinski, Mariusz:
Introduction to Artificial Intelligence - gebonden uitgave, pocketboek

2016, ISBN: 3319400207

[EAN: 9783319400204], Gebraucht, guter Zustand, [SC: 0.0], [PU: Springer International Publishing], SEARCH,DESCRIPTION LOGIC (DL),PATTERN RECOGNITION,REASONING,RULE-BASED SYSTEMS,NEURAL N… Meer...

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Introduction to Artificial Intelligence
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ISBN:

9783319400204


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.

Gedetalleerde informatie over het boek. - Introduction to Artificial Intelligence


EAN (ISBN-13): 9783319400204
ISBN (ISBN-10): 3319400207
Gebonden uitgave
pocket book
Verschijningsjaar: 11
Uitgever: Springer International Publishing

Boek bevindt zich in het datenbestand sinds 2017-01-13T12:06:32+01:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2024-03-25T11:31:27+01:00 (Amsterdam)
ISBN/EAN: 9783319400204

ISBN - alternatieve schrijfwijzen:
3-319-40020-7, 978-3-319-40020-4
alternatieve schrijfwijzen en verwante zoekwoorden:
Titel van het boek: 2016 artificial intelligence, introduction artificial intelligence

Gegevens van de uitgever

Auteur: Mariusz Flasiński
Titel: Introduction to Artificial Intelligence
Uitgeverij: Springer; Springer International Publishing
321 Bladzijden
Verschijningsjaar: 2016-07-21
Cham; CH
Gedrukt / Gemaakt in
Taal: Engels
90,94 € (DE)
93,49 € (AT)
100,50 CHF (CH)
POD
X, 321 p. 70 illus.

BB; Hardcover, Softcover / 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; Artificial Intelligence; Computational Intelligence; Data Mining and Knowledge Discovery; Data Mining; Wissensbasierte Systeme, Expertensysteme; EA; BC

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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