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Beschreibung
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.
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.
Über den Autor
Mariusz Flasi¿ski 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.
Zusammenfassung

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: [...]

Inhaltsverzeichnis

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.

Details
Erscheinungsjahr: 2018
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: x
321 S.
70 s/w Illustr.
321 p. 70 illus.
ISBN-13: 9783319820163
ISBN-10: 3319820168
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Flasi¿ski, Mariusz
Auflage: Softcover reprint of the original 1st edition 2016
Hersteller: Springer
Birkhäuser
Springer International Publishing AG
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 19 mm
Von/Mit: Mariusz Flasi¿ski
Erscheinungsdatum: 07.06.2018
Gewicht: 0,505 kg
Artikel-ID: 114237159

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