Introduction to Artificial Intelligence (Undergraduate Topics in Computer Science) - Softcover

Buch 63 von 99: Undergraduate Topics in Computer Science

Ertel, Wolfgang

 
9783319584867: Introduction to Artificial Intelligence (Undergraduate Topics in Computer Science)

Inhaltsangabe

This accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. It provides study exercises at the end of each chapter, plus examples, definitions, theorems, and illustrations.

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Über die Autorin bzw. den Autor

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

Von der hinteren Coverseite

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 websiteContains numerous study exercises and solutions, highlighted examples, definitions, theorems, and illustrative cartoonsIncludes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learningReports 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 tounderstand the material.Dr. Wolfgang Ertel is a professor at the Institute for Artificial Intelligence at the Ravensburg-Weingarten University of Applied Sciences, Germany.

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