Overview
- 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
- Updated second edition featuring new material on deep learning
Part of the book series: Undergraduate Topics in Computer Science (UTICS)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
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 learning; 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.Authors and Affiliations
About the author
Bibliographic Information
Book Title: Introduction to Artificial Intelligence
Authors: Wolfgang Ertel
Translated by: Nathanael T. Black
Series Title: Undergraduate Topics in Computer Science
DOI: https://doi.org/10.1007/978-3-319-58487-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-58486-7Published: 29 January 2018
eBook ISBN: 978-3-319-58487-4Published: 18 January 2018
Series ISSN: 1863-7310
Series E-ISSN: 2197-1781
Edition Number: 2
Number of Pages: XIV, 356
Number of Illustrations: 84 b/w illustrations, 46 illustrations in colour
Topics: Artificial Intelligence