Introduction to Artificial Intelligence
Published on 15. March 2011
Book
Paperback/Softback
XII, 316 pages
978-0-85729-298-8 (ISBN)
Description
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 / Votes
"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)More details
Series
Edition
2011
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Lower undergraduate
Illustrations
biography
Dimensions
Height: 23.4 cm
Width: 15.6 cm
Weight
504 gr
ISBN-13
978-0-85729-298-8 (9780857292988)
DOI
10.1007/978-0-85729-299-5
Schweitzer Classification
Other editions
New editions
Wolfgang Ertel
Introduction to Artificial Intelligence
Book
09/2024
3rd Edition
Springer
€53.49
Shipment within 10-15 days
Wolfgang Ertel
Introduction to Artificial Intelligence
Book
01/2018
2nd Edition
Springer
€69.54
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Additional editions
Wolfgang Ertel
Introduction to Artificial Intelligence
E-Book
03/2011
1st Edition
Springer
€35.69
Available for download
Persons
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.
Content
Introduction.- 1: Propositional Logic.- 2: First-order Predicate Logic.- 3: Limitations of Logic.- 4: Logic Programming with PROLOG.- 5: Search, Games and Problem Solving.- 6: Reasoning with Uncertainty.- 7: Machine Learning and Data Mining.- 8: Neural Networks.- 9: Reinforcement Learning.- 10: Solutions for the Exercises.