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Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
 
 
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Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence) (Paperback)

by Martin V. Butz (Editor), Olivier Sigaud (Editor), Pierre Gérard (Editor)
Key Phrases: linear anticipation, driven systems theory, anticipatory agent, New York, Berlin Heidelberg, Journal of Experimental Psychology (more...)
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Editorial Reviews

Product Description

The interdisciplinary topic of anticipation, attracting attention from computer scientists, psychologists, philosophers, neuroscientists, and biologists is a rather new and often misunderstood matter of research. This book attempts to establish anticipation as a research topic and encourage further research and development work.

First, the book presents philosophical thoughts and concepts to stimulate the reader's concern about the topic. Fundamental cognitive psychology experiments then confirm the existence of anticipatory behavior in animals and humans and outline a first framework of anticipatory learning and behavior. Next, several distinctions and frameworks of anticipatory processes are discussed, including first implementations of these concepts. Finally, several anticipatory systems and studies on anticipatory behavior are presented.


Product Details

  • Paperback: 303 pages
  • Publisher: Springer; 1 edition (August 13, 2003)
  • Language: English
  • ISBN-10: 3540404295
  • ISBN-13: 978-3540404293
  • Product Dimensions: 9.1 x 6 x 0.7 inches
  • Shipping Weight: 1 pounds (View shipping rates and policies)
  • Average Customer Review: No customer reviews yet. Be the first.
  • Amazon.com Sales Rank: #2,444,729 in Books (See