Undergraduate Topics in Computer Science

Introduction to Artificial Intelligence

Autoren: Ertel, Wolfgang

  • 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
  • Updated second edition featuring new material on deep learning
Weitere Vorteile

Dieses Buch kaufen

eBook 44,02 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-58487-4
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Softcover 56,70 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-58486-7
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Über dieses Lehrbuch

This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks, and reinforcement learning. Fully revised and updated, this much-anticipated second edition also includes new material on deep learning.

Topics and features: presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website; contains numerous study exercises and solutions, 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; reports on developments in deep learning, including applications of neural networks to generate creative content such as text, music and art (NEW); examines performance evaluation of clustering algorithms, and presents two practical examples explaining Bayes’ theorem and its relevance in everyday life (NEW); discusses search algorithms, analyzing the cycle check, explaining route planning for car navigation systems, and introducing Monte Carlo Tree Search (NEW); includes a section in the introduction on AI and society, discussing the implications of AI on topics such as employment and transportation (NEW).

Ideal for foundation courses or modules on AI, this easy-to-read textbook offers an excellent overview of the field for students of computer science and other technical disciplines, requiring no more than a high-school level of knowledge of mathematics to understand the material.

Über den Autor

Dr. Wolfgang Ertel is a professor at the Institute for Artificial Intelligence at the Ravensburg-Weingarten University of Applied Sciences, Germany.

Video

Inhaltsverzeichnis (11 Kapitel)

  • Introduction

    Ertel, Wolfgang

    Seiten 1-21

  • Propositional Logic

    Ertel, Wolfgang

    Seiten 23-38

  • First-order Predicate Logic

    Ertel, Wolfgang

    Seiten 39-64

  • Limitations of Logic

    Ertel, Wolfgang

    Seiten 65-73

  • Logic Programming with PROLOG

    Ertel, Wolfgang

    Seiten 75-90

Dieses Buch kaufen

eBook 44,02 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-58487-4
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Softcover 56,70 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-319-58486-7
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
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Bibliografische Information

Bibliographic Information
Buchtitel
Introduction to Artificial Intelligence
Autoren
Übersetzt von
Black, N.T.
Titel der Buchreihe
Undergraduate Topics in Computer Science
Copyright
2017
Verlag
Springer International Publishing
Copyright Inhaber
Springer International Publishing AG
eBook ISBN
978-3-319-58487-4
DOI
10.1007/978-3-319-58487-4
Softcover ISBN
978-3-319-58486-7
Buchreihen ISSN
1863-7310
Auflage
2
Seitenzahl
XIV, 356
Anzahl der Bilder
84 schwarz-weiß Abbildungen, 46 Abbildungen in Farbe
Themen