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Home > Computing and Information Technology > Computer science > Artificial intelligence > Introduction to Artificial Intelligence: (Undergraduate Topics in Computer Science)
Introduction to Artificial Intelligence: (Undergraduate Topics in Computer Science)

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


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About the Book

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.

Table of Contents:
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.

About the Author :
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.

Review :
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)


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Product Details
  • ISBN-13: 9780857292988
  • Publisher: Springer London Ltd
  • Publisher Imprint: Springer London Ltd
  • Height: 234 mm
  • Returnable: N
  • Weight: 504 gr
  • ISBN-10: 0857292986
  • Publisher Date: 15 Mar 2011
  • Binding: Paperback
  • Language: German
  • Series Title: Undergraduate Topics in Computer Science
  • Width: 156 mm


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