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|a 9783540742623
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|a Butz, Martin V.
|e [editor]
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|a Anticipatory Behavior in Adaptive Learning Systems
|h Elektronische Ressource
|b From Brains to Individual and Social Behavior
|c edited by Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, Gianluca Baldassarre
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| 250 |
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|a 1st ed. 2007
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2007, 2007
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| 300 |
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|a X, 382 p
|b online resource
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|a Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems -- Anticipatory Aspects in Brains, Language, and Cognition -- Neural Correlates of Anticipation in Cerebellum, Basal Ganglia, and Hippocampus -- The Role of Anticipation in the Emergence of Language -- Superstition in the Machine -- Individual Anticipatory Frameworks -- From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE -- Project “Animat Brain”: Designing the Animat Control System on the Basis of the Functional Systems Theory -- Cognitively Inspired Anticipatory Adaptation and Associated Learning Mechanisms for Autonomous Agents -- Schema-Based Design and the AKIRA Schema Language: An Overview -- Learning Predictions and Anticipations -- Training and Application of a Visual Forward Model for a Robot Camera Head -- A Distributed Computational Model of Spatial Memory Anticipation During a Visual Search Task -- A Testbed for Neural-Network Models Capable of Integrating Information in Time -- Construction of an Internal Predictive Model by Event Anticipation -- Anticipatory Individual Behavior -- The Interplay of Analogy-Making with Active Vision and Motor Control in Anticipatory Robots -- An Intrinsic Neuromodulation Model for Realizing Anticipatory Behavior in Reaching Movement under Unexperienced Force Fields -- Anticipating Rewards in Continuous Time and Space: A Case Study in Developmental Robotics -- Anticipatory Model of Musical Style Imitation Using Collaborative and Competitive Reinforcement Learning -- Anticipatory Social Behavior -- An Anticipatory Trust Model for Open Distributed Systems -- Anticipatory Alignment Mechanisms for Behavioral Learning in Multi Agent Systems -- Backward vs. Forward-Oriented Decision Making in theIterated Prisoner’s Dilemma: A Comparison Between Two Connectionist Models -- An Experimental Study of Anticipation in Simple Robot Navigation
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|a Computers and Society
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|a Computer science
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|a Control, Robotics, Automation
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|a Computer Application in Social and Behavioral Sciences
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|a Artificial Intelligence
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|a Algorithms
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|a Social sciences / Data processing
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|a Control engineering
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|a Artificial intelligence
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|a Robotics
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|a Theory of Computation
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|a Automation
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|a Computers and civilization
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| 700 |
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|a Sigaud, Olivier
|e [editor]
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| 700 |
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|a Pezzulo, Giovanni
|e [editor]
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|a Baldassarre, Gianluca
|e [editor]
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Lecture Notes in Artificial Intelligence
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| 028 |
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|a 10.1007/978-3-540-74262-3
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|u https://doi.org/10.1007/978-3-540-74262-3?nosfx=y
|x Verlag
|3 Volltext
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|a 006.3
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|a 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 systems (ABiALS 2006) has shown yet again that the similarities between di?erent anticipatory mechanisms in diverse cognitive systems are striking. The discussions and presentations on the workshop day of September 30th, 2006, during the Simulation of Adaptive Behavior Conference (SAB 2006), con?rmed that the investigations into anticipatory cognitive mechanisms for behavior and learning strongly overlap among researchers from various disciplines, including the whole interdisciplinary cognitive science area. Thus, further conceptualizations of anticipatory mechanisms seem man- tory. The introductory chapter of this volume therefore does not only provide an overview of the contributions included in this volume but also proposes a taxonomy of how anticipatory mechanisms can improve adaptive behavior and learning in cognitive systems. During the workshop it became clear that ant- ipations are involved in various cognitive processes that range from individual anticipatory mechanisms to social anticipatory behavior. This book re?ects this structure by ?rst providing neuroscienti?c as well as psychological evidence for anticipatorymechanismsinvolvedinbehavior,learning,language,andcognition. Next,individualpredictivecapabilitiesandanticipatorybehaviorcapabilitiesare investigated. Finally, anticipation relevant in social interaction is studied
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