Last edited by Araktilar
Tuesday, May 12, 2020 | History

2 edition of Anticipatory Behavior in Adaptive Learning Systems found in the catalog.

Anticipatory Behavior in Adaptive Learning Systems

From Psychological Theories to Artificial Cognitive Systems

by Hutchison, David

  • 25 Want to read
  • 16 Currently reading

Published by Springer Berlin Heidelberg in Berlin, Heidelberg .
Written in English

    Subjects:
  • Artificial intelligence,
  • Computer software,
  • Computer science,
  • Data processing,
  • Social sciences

  • Edition Notes

    Statementedited by David Hutchison, Takeo Kanade, Josef Kittler, Jon M. Kleinberg, Friedemann Mattern, John C. Mitchell, Moni Naor, Oscar Nierstrasz, C. Pandu Rangan, Bernhard Steffen, Madhu Sudan, Demetri Terzopoulos, Doug Tygar, Moshe Y. Vardi, Gerhard Weikum, Randy Goebel, Jörg Siekmann, Wolfgang Wahlster, Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre
    SeriesLecture Notes in Computer Science -- 5499
    ContributionsButz, Martin V., 1975-, Vardi, Moshe Y., Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Baldassarre, Gianluca, Tygar, Doug, Weikum, Gerhard, Goebel, Randy, Siekmann, Jörg, Wahlster, Wolfgang, Pezzulo, Giovanni, Sigaud, Olivier, Terzopoulos, Demetri, SpringerLink (Online service)
    The Physical Object
    Format[electronic resource] :
    ID Numbers
    Open LibraryOL25535281M
    ISBN 109783642025648, 9783642025655

    Anticipatory Behavior in Adaptive Learning Systems, From Brains to Individual and Social Behavior [the book is a result from the third workshop on anticipatory behavior in adaptive learning systems, ABiALS , Rome, Italy, Septem , colocated with SAB ]. Lecture Notes in Computer Science , Springer , ISBN Anticipatory Behavior in Adaptive Learning Systems, Foundations, Theories, and Systems. Lecture Notes in Computer Science , Springer , ISBN [contents] home.

    from book Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior (pp) Anticipations, Brains, Individual and Social Behavior: An Introduction to. Anticipatory Learning Classifier Systems highlights how anticipations influence cognitive systems and illustrates the use of anticipations for (1) faster reactivity, (2) adaptive behavior beyond reinforcement learning, (3) attentional mechanisms, (4) simulation of other agents and (5) the implementation of a motivational module. The book Cited by:

      Read Anticipatory Behavior in Adaptive Learning Systems: Foundations Theories and Systems (Lecture. Anticipatory learning is sometimes considered synonymous with the general mechanism of learning to generate predictions or learning a predictive or forward model of an encountered environment or problem. However, the term anticipation usually does not simply refer to predictions, but rather to predictions that are expected to be relevant to an organism and that are used to effectively adapt.


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Anticipatory Behavior in Adaptive Learning Systems by Hutchison, David Download PDF EPUB FB2

Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems (Lecture Anticipatory Behavior in Adaptive Learning Systems book in Computer Science ()) rd Edition by Pierre G¿¿rard (Author), Olivier Sigaud (Author), Martin V.

Butz (Author) & 0 more5/5(3). Research on anticipatory behavior in adaptive learning systems continues to gain more recognition and appreciation in various research disciplines. This book provides an overarching view on anticipatory mechanisms in cognition, learning, and behavior.

Available in: patory behavior in adaptive learning systems continues attracting attention of researchers in many areas, including Due to COVID, orders may be delayed. Thank you for your patience. Book Annex Membership Educators Gift Cards Stores & Events HelpPrice: $ About this book. Anticipatory behavior in adaptive learning systems is steadily gaining the - terest of scientists, although many researchers still do not explicitly consider the actual anticipatory capabilities of their systems.

Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior. Pages Butz, Martin V. (et al.). Anticipatory behavior in adaptive learning systems continues to attract the attention of researchers in many areas, including cognitive systems, neuroscience, psychology, and machine learning.

This book constitutes the thoroughly refereed post-workshop proceedings. Anticipatory behavior in adaptive learning systems is steadily gaining the - terest of scientists, although many researchers still do not explicitly consider the actual anticipatory capabilities of their systems.

Similarly to the previous two workshops, the third workshop on anticipatory behavior in adaptive lea- ing. Anticipatory behavior in adaptive learning systems continues to attract the 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, ABiALSheld in Munich, Germany, in.

Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive Systems June June Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior.

Abstract: The paper describes a new approach toward the study of anticipatory behavior in adaptive learning systems, an approach based on electrophysiological evidence of anticipatory behavior of the human brain.

The basic idea is to study brain potentials related to anticipation of some event. This book presents the refereed post-proceedings of the Third International Workshop on Anticipatory Behavior in Adaptive Learning Systems. Twenty full papers were chosen from among the many : $   – To review the edited anthology Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems., – Comments on the book's 16 articles that rapidly transition from introductory philosophy to specific research reports., – The consensus is that anticipatory behaviors are critical to performance in a variety of natural and built systems – especially adaptive Author: George H.

Kubik. Anticipatory behavior in adaptive learning systems: foundations, theories, and systems. (PDF) Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior | Giovanni Pezzulo - This book presents the refereed post-proceedings of the Third International Workshop on Anticipatory Behavior in Adaptive Learning Systems.

Twenty full papers were chosen from among the many submissions. This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALSheld in Munich.

Despite several recent theoretical approaches on this topic, until now it remains unclear in which situations anticipatory behavior is useful or even mandatory to achieve competent behavior in adaptive learning systems. This book provides a collection of articles that investigate these questions.

We provide an overview for all articles relating them to each other and highlighting their significance to anticipatory Cited by: The study of anticipatory behavior is referring to behavior that is dependent on predictions, expectations, or beliefs about future states.

Hereby, behavior includes actual decision making. Anticipatory behavior in adaptive learning systems continues to attract the 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. Anticipatory behavior in adaptive learning systems: From brains to individual and social behavior. Purpose – To review the edited anthology Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems.

Design/methodology/approach – Comments on the book's 16 articles that rapidly transition from introductory philosophy to specific research reports.

Findings – The consensus is that anticipatory behaviors are critical to performance in a variety of .Anticipatory behavior in adaptive learning systems, foundations, theories, and systems (Vol.

).Anticipatory Learning Classifier Systems highlights how anticipations influence cognitive systems and illustrates the use of anticipations for (1) faster reactivity, (2) adaptive behavior beyond reinforcement learning, (3) attentional mechanisms, (4) simulation of other agents and (5) the implementation of a motivational module.

The book.