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Introduction To Artificial Intelligence (Undergraduate Topics In Computer Science) - pocketboek

2011, ISBN: 9780857292988

Springer, Taschenbuch, Auflage: 2011, 328 Seiten, Publiziert: 2011-03-17T00:00:01Z, Produktgruppe: Buch, 1.11 kg, Informatik, IT-Ausbildung & -Berufe, Computer & Internet, Kategorien, Büc… Meer...

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Ertel, Wolfgang:

Introduction To Artificial Intelligence (Undergraduate Topics In Computer Science) - pocketboek

2011, ISBN: 9780857292988

Springer, Taschenbuch, Auflage: 2011, 328 Seiten, Publiziert: 2011-03-17T00:00:01Z, Produktgruppe: Buch, 1.11 kg, Informatik, IT-Ausbildung & -Berufe, Computer & Internet, Kategorien, Büc… Meer...

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Introduction To Artificial Intelligence (Undergraduate Topics In Computer Science) - Ertel, Wolfgang
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Ertel, Wolfgang:
Introduction To Artificial Intelligence (Undergraduate Topics In Computer Science) - pocketboek

2011

ISBN: 9780857292988

Springer, Taschenbuch, Auflage: 2011, 328 Seiten, Publiziert: 2011-03-17T00:00:01Z, Produktgruppe: Buch, 1.11 kg, Informatik, IT-Ausbildung & -Berufe, Computer & Internet, Kategorien, Büc… Meer...

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Introduction To Artificial Intelligence (Undergraduate Topics In Computer Science) - Ertel, Wolfgang
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Ertel, Wolfgang:
Introduction To Artificial Intelligence (Undergraduate Topics In Computer Science) - pocketboek

2011, ISBN: 9780857292988

Springer, Taschenbuch, Auflage: 2011, 328 Seiten, Publiziert: 2011-03-17T00:00:01Z, Produktgruppe: Buch, 1.11 kg, Informatik, IT-Ausbildung & -Berufe, Computer & Internet, Kategorien, Büc… Meer...

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Introduction To Artificial Intelligence (Undergraduate Topics In Computer Science) - Ertel, Wolfgang
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Ertel, Wolfgang:
Introduction To Artificial Intelligence (Undergraduate Topics In Computer Science) - pocketboek

2011, ISBN: 9780857292988

Springer, Taschenbuch, Auflage: 2011, 328 Seiten, Publiziert: 2011-03-17T00:00:01Z, Produktgruppe: Buch, 1.11 kg, Informatik, IT-Ausbildung & -Berufe, Computer & Internet, Kategorien, Büc… Meer...

Verzendingskosten:Auf Lager. Die angegebenen Versandkosten können von den tatsächlichen Kosten abweichen. (EUR 3.00) DISCOUNTED COLLEGE MANUALS

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Introduction To Artificial Intelligence (Undergraduate Topics In Computer Science)

This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website.

Gedetalleerde informatie over het boek. - Introduction To Artificial Intelligence (Undergraduate Topics In Computer Science)


EAN (ISBN-13): 9780857292988
ISBN (ISBN-10): 0857292986
Gebonden uitgave
pocket book
Verschijningsjaar: 2011
Uitgever: Black, Nathanael T. Springer
316 Bladzijden
Gewicht: 0,490 kg
Taal: eng/Englisch

Boek bevindt zich in het datenbestand sinds 2008-04-12T20:06:24+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2024-03-04T12:10:45+01:00 (Amsterdam)
ISBN/EAN: 9780857292988

ISBN - alternatieve schrijfwijzen:
0-85729-298-6, 978-0-85729-298-8
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: ertel, erte, erté, mast, wolf, wolfgang will
Titel van het boek: art, künstliche intelligenz, grundkurs, topics artificial intelligence


Gegevens van de uitgever

Auteur: Wolfgang Ertel
Titel: Undergraduate Topics in Computer Science; Introduction to Artificial Intelligence; Grundkurs Künstliche Intelligenz: Eine praxisorientierte Einführung
Uitgeverij: Springer; Springer London
316 Bladzijden
Verschijningsjaar: 2011-03-15
London; GB
Gedrukt / Gemaakt in
Vertaler: Nathanael T. Black
Gewicht: 0,504 kg
Taal: Engels
37,40 € (DE)
38,45 € (AT)
50,55 CHF (CH)
Not available, publisher indicates OP

BC; Book; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Künstliche Intelligenz; Artificial Intelligence; B; Artificial Intelligence (incl. Robotics); Computer Science; Robotik; EA; BC

This accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. It provides study exercises at the end of each chapter, plus examples, definitions, theorems, and illustrations.

The ultimate aim of artificial intelligence (A.I.) is to understand intelligence and to build intelligent software and robots that come close to the performance of humans. On their way towards this goal, A.I. researchers have developed a number of quite different subdisciplines.

supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The textbook presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning.

Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, theorems, and illustrative cartoons; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at the website http://www.hs-weingarten.de/~ertel/aibook.

Students of computer science and other technical natural sciences will find this easy-to-read textbook excellent for self-study, a high-school level of knowledge of mathematics being the only prerequisite to understanding the material. With its extensive tools and bibliography, it is an ideal, quick resource on A.I.

Introduction to Artificial Intelligence

Introduction.- 1: Propositional Logic.- 2: First-order Predicate Logic.- 3: Limitations of Logic.- 4: Logic Programming with PROLOG.- 5: Search, Games and Problem Solving.- 6: Reasoning with Uncertainty.- 7: Machine Learning and Data Mining.- 8: Neural Networks.- 9: Reinforcement Learning.- 10: Solutions for the Exercises.

Dr. Wolfgang Ertel

An ideal, quick resource on A.I., excellent for self-study

Presents an application-focused and hands-on approach to learning the subject

Provides study exercises at the end of each chapter, in addition to highlighted examples, definitions, theorems, and illustrative cartoons



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