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Undergraduate Topics in Computer Science

Introduction to Artificial Intelligence

Authors: Ertel, Wolfgang

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  • 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
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Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-319-58487-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-58486-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

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.

About the authors

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

Table of contents (11 chapters)

Table of contents (11 chapters)
  • Introduction

    Pages 1-21

    Ertel, Wolfgang

  • Propositional Logic

    Pages 23-38

    Ertel, Wolfgang

  • First-order Predicate Logic

    Pages 39-64

    Ertel, Wolfgang

  • Limitations of Logic

    Pages 65-73

    Ertel, Wolfgang

  • Logic Programming with PROLOG

    Pages 75-90

    Ertel, Wolfgang

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-319-58487-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-58486-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Introduction to Artificial Intelligence
Authors
Translated by
Black, N.T.
Series Title
Undergraduate Topics in Computer Science
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
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
Series ISSN
1863-7310
Edition Number
2
Number of Pages
XIV, 356
Number of Illustrations
84 b/w illustrations, 46 illustrations in colour
Topics