Titlebook: Anticipatory Behavior in Adaptive Learning Systems; From Psychological T Giovanni Pezzulo,Martin V. Butz,Gianluca Baldassar Conference proc

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Multiscale Anticipatory Behavior by Hierarchical Reinforcement Learnings sequence is realized on the lower layer by applying policy gradient-based reinforcement learning to the hybrid automaton model. The iteration between both layers leads to a consistent and goal-attaining behavior, as shown for a simple robot grasping task.

正式演說

0302-9743 , 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

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From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Syst behavioral processes, with contributions from key researchers in psychology and computer science. This introduction offers a conceptual terminology on anticipatory mechanisms and involved predictive capabilities. Moreover, it provides an overview of the book contributions, highlighting some of their peculiarities and complementarities.

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Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, ession progress because its regularity was not yet known. This drive maximizes . the first derivative of subjective beauty or compressibility, that is, the steepness of the learning curve. It motivates exploring infants, pure mathematicians, composers, artists, dancers, comedians, yourself, and (since 1990) artificial systems.

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Conference proceedings 2009ence, 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 o

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