Skip to main content
SpringerLink
Log in
Book cover

Introduction to Artificial Intelligence

  • Textbook
  • Mar 2011

Overview

Authors:
  1. Wolfgang Ertel

    1. FB Elektrotechnik und Informatik, FH Ravensburg-Weingarten, Weingarten, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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
  • Includes supplementary material: sn.pub/extras

Part of the book series: Undergraduate Topics in Computer Science (UTICS)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 chapters)

  1. Front Matter

    Pages I-XI
    Download chapter PDF

  2. Introduction

    • Wolfgang Ertel
    Pages 1-14

  3. Propositional Logic

    • Wolfgang Ertel
    Pages 15-30

  4. First-order Predicate Logic

    • Wolfgang Ertel
    Pages 31-55

  5. Limitations of Logic

    • Wolfgang Ertel
    Pages 57-65

  6. Logic Programming with PROLOG

    • Wolfgang Ertel
    Pages 67-82

  7. Search, Games and Problem Solving

    • Wolfgang Ertel
    Pages 83-111

  8. Reasoning with Uncertainty

    • Wolfgang Ertel
    Pages 113-160

  9. Machine Learning and Data Mining

    • Wolfgang Ertel
    Pages 161-220

  10. Neural Networks

    • Wolfgang Ertel
    Pages 221-256

  11. Reinforcement Learning

    • Wolfgang Ertel
    Pages 257-277

  12. Solutions for the Exercises

    • Wolfgang Ertel
    Pages 279-303

  13. Back Matter

    Pages 305-316
    Download chapter PDF
Back to top

Keywords

About this book

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.

Reviews

“The book overall is very readable and relevant. One of the most valuable aspects of this book are the worked out examples and numerous (solved) exercises. … Overall, this is a very well written and pedagogical book that fills an important niche in the Artificial Intelligence educational literature. Highly recommended.” (Bojan Tunguz, tunguzreview.com, July, 2015)

“This accessible and concise introduction to the field of artificial intelligence (AI) is intended primarily for self-study or as a foundation of a short course on the subject. The book consists of ten topic chapters, each one of which offers an extended list of exercises. Chapter 11 contains solutions to all exercises. Additional teaching resources, including lecture slides, are available on the book website.” (Neli Zlatareva, Zentralblatt MATH, Vol. 1238, 2012)

“The book is aimed primarily at undergraduates who have not yet taken linear algebra or multidimensional calculus. … it contains many exercises with solutions at the back; thus, it supports self-learning. … The many excellent figures, some in color, help make the material easily understandable. A companion Web site contains supplementary materials, such as program code for the book, most of which is in or commented on in German. Summing Up: Recommended. Upper-division undergraduates and above.” (S. L. Tanimoto, Choice, Vol. 49 (2), October, 2011)

Authors and Affiliations

  • FB Elektrotechnik und Informatik, FH Ravensburg-Weingarten, Weingarten, Germany

    Wolfgang Ertel

About the author

Dr. Wolfgang Ertel is a professor at the Collaborative Center for Applied Research on Service Robotics at the Ravensburg-Weingarten University of Applied Sciences, Germany.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation