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Science/Engineering Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive Systems

Posted on 2010-04-14




Name:Science/Engineering Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive Systems
ASIN/ISBN:3642025641
File size:7.89 Mb
Language: English
Publish Date: 3642025641
Pages: 335 pages
File Type: PDF
File Size: 7.89 MB
Other Info: Springer; 1 edition (August 12, 2009)
   Science/Engineering Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive Systems



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Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre, "Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive Systems (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)"

Anticipatory behavior in adaptive learning systems continues attracting attention of researchers in many areas, including cognitive systems, neuroscience, psychology, and machine learning. This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008, held in Munich, Germany, in June 2008, in collaboration with the six-monthly Meeting of euCognition 'The Role of Anticipation in Cognition'. The 18 revised full papers presented were carefully selected during two rounds of reviewing and improvement for inclusion in the book. The introductory chapter of this state-of-the-art survey not only provides an overview of the contributions included in this volume but also revisits the current available terminology on anticipatory behavior and relates it to the available system approaches. The papers are organized in topical sections on anticipation in psychology with focus on the ideomotor view, conceptualizations, anticipation and dynamical systems, computational modeling of psychological processes in the individual and social domains, behavioral and cognitive capabilities based on anticipation, and computational frameworks and algorithms for anticipation, and their evaluation.

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