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Introduction to Artificial Intelligence

  • Mariusz Flasiński

Table of contents

  1. Front Matter
    Pages i-x
  2. Fundamental Ideas of Artificial Intelligence

    1. Front Matter
      Pages 1-1
    2. Mariusz Flasiński
      Pages 3-13
    3. Mariusz Flasiński
      Pages 15-22
    4. Mariusz Flasiński
      Pages 23-27
  3. Artificial Intelligence Methods

    1. Front Matter
      Pages 29-29
    2. Mariusz Flasiński
      Pages 31-51
    3. Mariusz Flasiński
      Pages 53-66
    4. Mariusz Flasiński
      Pages 67-89
    5. Mariusz Flasiński
      Pages 91-101
    6. Mariusz Flasiński
      Pages 103-124
    7. Mariusz Flasiński
      Pages 125-139
    8. Mariusz Flasiński
      Pages 141-156
    9. Mariusz Flasiński
      Pages 157-174
    10. Mariusz Flasiński
      Pages 175-188
    11. Mariusz Flasiński
      Pages 189-201
    12. Mariusz Flasiński
      Pages 203-210
  4. Selected Issues in Artificial Intelligence

    1. Front Matter
      Pages 211-211
    2. Mariusz Flasiński
      Pages 223-234
    3. Mariusz Flasiński
      Pages 235-245
  5. Back Matter
    Pages 247-321

About this book

Introduction

In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers.

The book is appropriate for advanced undergraduate and graduate courses in computer science, engineering, and other applied sciences, and the appendices offer short formal, mathematical models and notes to support the reader.

Keywords

Artificial Intelligence (AI) Computational Intelligence (CI) Description Logic (DL) Evolutionary Computing (EC) Heuristics Knowledge Representation (KR) Knowledge-Based Systems (KBS) Neural Networks Pattern Recognition Reasoning Rule-Based Systems Search

Authors and affiliations

  • Mariusz Flasiński
    • 1
  1. 1.Information Technology Systems DepartmentJagiellonian UniversityKrakówPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-40022-8
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-40020-4
  • Online ISBN 978-3-319-40022-8
  • Buy this book on publisher's site