Introduction to artificial intelligence
Author(s)
Bibliographic Information
Introduction to artificial intelligence
（Undergraduate topics in computer science）
Springer, c2011
- : pbk
- Other Title
-
Grundkurs künstliche intelligenz
Available at 10 libraries
Note
Includes bibliographical references and index
"Originally published in the German language by Vieweg+Teubner....., as "Ertel, Wolfgang: Grundkurs künstliche intelligenz. 2. rev. edition...2009" -- t.p. verso
Description and Table of Contents
Description
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.
by "Nielsen BookData"