Introduction to Artificial Intelligence

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Sprache: Englisch

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Beschreibung

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 third 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

· Introduces convolutional neural networks as the currently most important type of deep learning networks with applications to image classification (NEW)

· Contains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoons

· Reports on developments in deep learning, including applications of neural networks to large language models as used in state-of-the-art chatbots as well as to the generation of music and art (NEW)

· Includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks, and reinforcement learning

· Covers various classical machine learning algorithms and introduces important general concepts such as cross validation, data normalization, performance metricsand data augmentation (NEW)

· Includes a section on AI and society, discussing the implications of AI on topics such as employment and transportation

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.

Topics and features:

· Presents an application-focused and hands-on approach to learning, with supplementary teaching resources provided at an associated website

· Introduces convolutional neural networks as the currently most important type of deep learning networks with applications to image classification (NEW)

· 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

· Covers various classical machine learning algorithms and introduces important general concepts such as cross validation, data normalization, performance metricsand data augmentation (NEW)

· Includes a section on AI and society, discussing the implications of AI on topics such as employment and transportation

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

Zusammenfassung

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

Inhaltsverzeichnis

Introduction.- Propositional Logic.- First-order Predicate Logic.- Limitations of Logic.- Logic Programming with PROLOG.- Search, Games and Problem Solving.- Reasoning with Uncertainty.- Machine Learning and Data Mining.- Neural Networks.- Reinforcement Learning.- Solutions for the Exercises.

Details

Erscheinungsjahr:	2024
Genre:	Informatik , Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Reihe:	Undergraduate Topics in Computer Science
Inhalt:	xv 383 S. 187 s/w Illustr. 72 farbige Illustr. 383 p. 259 illus. 72 illus. in color.
ISBN-13:	9783658431013
ISBN-10:	3658431016
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Ertel, Wolfgang
Übersetzung:	Black, Nathanael T.
Auflage:	Third Edition 2025
Hersteller:	Springer Springer Gabler Springer Fachmedien Wiesbaden GmbH Undergraduate Topics in Computer Science
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	235 x 155 x 21 mm
Von/Mit:	Wolfgang Ertel
Erscheinungsdatum:	07.09.2024
Gewicht:	0,677 kg