Description: Anticipatory Behavior in Adaptive Learning Systems by Martin V. Butz, Olivier Sigaud, Pierre Gérard The interdisciplinary topic of anticipation is an often misunderstood matter of research. This book attempts to establish anticipation as a research topic and encourage further research and development work. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher 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 readers 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. Notes Springer Book Archives Table of Contents Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior.- Philosophical Considerations.- Whose Anticipations?.- Not Everything We Know We Learned.- From Cognitive Psychology to Cognitive Systems.- Anticipatory Behavioral Control.- Towards a Four Factor Theory of Anticipatory Learning.- Formulations, Distinctions, and Characteristics.- Internal Models and Anticipations in Adaptive Learning Systems.- Mathematical Foundations of Discrete and Functional Systems with Strong and Weak Anticipations.- Anticipation Driven Artificial Personality: Building on Lewin and Loehlin.- A Framework for Preventive State Anticipation.- Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment.- Systems, Evaluations, and Applications.- Forward and Bidirectional Planning Based on Reinforcement Learning and Neural Networks in a Simulated Robot.- Sensory Anticipation for Autonomous Selection of Robot Landmarks.- Representing Robot-Environment Interactions by Dynamical Features of Neuro-controllers.- Anticipatory Guidance of Plot.- Exploring the Value of Prediction in an Artificial Stock Market.- Generalized State Values in an Anticipatory Learning Classifier System. Promotional Springer Book Archives Long Description The matter of anticipation is, as the editors of this volume state in their preface, a rathernewtopic. Giventhealmostconstantusewemakeofanticipationin our dailyliving,itseemsoddthatthebulk ofpsychologistshavepersistentlyignored it. However, the reason for this disregard is not dicult to ?nd. The dogma of the scientic revolution had from the outset laid down the principle that future conditions and events could not inuence the present. The law of causation clearly demands that causes should precedetheir eects and, therefore,concepts such as purpose, anticipation, and even intention were taboo because they were thought to involve things and happenings that lay ahead in time. An analysis of the three concepts - purpose, anticipation, and intention - shows that they are rooted in the past and transcend the present only insofar as they contain mental representations of things to be striven for or avoided. Purposiveorgoal-directedactioncouldbe circumscribedasactioncarriedoutto attain something desirable. In each case, the particular action is chosenbecause, in the past, it has more or less reliably led to the desired end. The only way the future is involved in this procedure is through the belief that the experiential worldmanifestssomeregularityandallowsthelivingorganismtoanticipatethat what has workedin the past will continue to work in the future. This belief does not have to be conscious. Skinners rats continued to turn left in a maze where theleftarmhadbeenbaited. Theydidsobecausethemeatpelletthey foundthe ?rst time had "reinforced" them to repeat the turn to the left. Feature Includes supplementary material: sn.pub/extras Details ISBN3540404295 Short Title ANTICIPATORY BEHAVIOR IN ADAPT Language English ISBN-10 3540404295 ISBN-13 9783540404293 Media Book Format Paperback Series Number 2684 Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Subtitle Foundations, Theories, and Systems Place of Publication Berlin Country of Publication Germany Author Pierre Gérard Edited by Pierre Gérard Illustrations X, 305 p. DOI 10.1007/b11711;10.1007/978-3-540-45002-3 Pages 305 Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Edition Description 2003 ed. Year 2003 Edition 2003rd Publication Date 2003-07-09 DEWEY 006.31 Audience Undergraduate Series Lecture Notes in Artificial Intelligence We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96277313;
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ISBN-13: 9783540404293
Book Title: Anticipatory Behavior in Adaptive Learning Systems
Number of Pages: 305 Pages
Language: English
Publication Name: Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Publication Year: 2003
Subject: Engineering & Technology, Computer Science
Item Height: 235 mm
Item Weight: 980 g
Type: Textbook
Author: Martin V. Butz, Olivier Sigaud, Pierre Gerard
Subject Area: Material Science, Mechanical Engineering
Item Width: 155 mm
Format: Paperback
