Introduction to Artificial Intelligence

  • Wolfgang Ertel

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

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Wolfgang Ertel
    Pages 1-21
  3. Wolfgang Ertel
    Pages 23-38
  4. Wolfgang Ertel
    Pages 39-64
  5. Wolfgang Ertel
    Pages 65-73
  6. Wolfgang Ertel
    Pages 75-90
  7. Wolfgang Ertel
    Pages 91-124
  8. Wolfgang Ertel
    Pages 125-174
  9. Wolfgang Ertel
    Pages 175-243
  10. Wolfgang Ertel
    Pages 245-287
  11. Wolfgang Ertel
    Pages 289-311
  12. Wolfgang Ertel
    Pages 313-338
  13. Back Matter
    Pages 339-356

About this book


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 learn
  • 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.

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


    Artificial Intelligence Agents Logic Search Reasoning with Uncertainty Machine Learning Neural Networks

    Authors and affiliations

    • Wolfgang Ertel
      • 1
    1. 1.Hochschule Ravensburg-WeingartenWeingartenGermany

    Bibliographic information

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