Introduction to Artificial Intelligence
(Sprache: Englisch)
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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Produktinformationen zu „Introduction to Artificial Intelligence “
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.
Klappentext zu „Introduction to Artificial Intelligence “
The ultimate aim of artificial intelligence (A.I.) is to understand intelligence and to build intelligent software and robots that come close to the performance of humans. On their way towards this goal, A.I. researchers have developed a number of quite different subdisciplines.This concise and accessible Introduction to Artificial Intelligence supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The textbook 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, theorems, and illustrative cartoons; includes chapterson 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 the website of computer science and other technical natural sciences will find this easy-to-read textbook excellent for self-study, a high-school level of knowledge of mathematics being the only prerequisite to understanding the material. With its extensive tools and bibliography, it is an ideal, quick resource on A.I.
Inhaltsverzeichnis zu „Introduction to Artificial Intelligence “
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.Autoren-Porträt von Wolfgang Ertel
Dr. Wolfgang Ertel ist Professor für Informatik an der Fachhochschule Ravensburg-Weingarten. Er hält Vorlesungen und Kurse zum Thema Datensicherheit, berät Firmen beim Aufbau ihrer Sicherheitsinfrastruktur und ist wissenschaftlich aktiv durch Veröffentlichungen und Patente in Datensicherheit und künstlicher Intelligenz.
Bibliographische Angaben
- Autor: Wolfgang Ertel
- 2011, 2011., 316 Seiten, Maße: 15,6 x 23,9 cm, Kartoniert (TB), Englisch
- Übersetzung: Black, Nathanael T.
- Übersetzer: Nathanael T. Black
- Verlag: Springer
- ISBN-10: 0857292986
- ISBN-13: 9780857292988
Sprache:
Englisch
Rezension zu „Introduction to Artificial Intelligence “
From the reviews:"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)
"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)
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