Introduction to Artificial Intelligence

1. Front Matter

   Pages I-XI

   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

    PDF

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.

• Artificial Intelligence

“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)

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

  Wolfgang Ertel

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.

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