Proceedings of the Seventh International Conference on Epigenetic Robotics
Berthouze, L.,
Prince, C. G.,
Littman, M.,
Kozima, H.,
and Balkenius, C.
(2007).
Proceedings of the Seventh International Conference on Epigenetic Robotics:
Modeling Cognitive Development in Robotic Systems.
Lund University Cognitive Studies, 135.
Lund: LUCS.
ISSN 1101-8453
ISBN 91-974741-8-5
Sponsor:
Table of Contents
Invited contribution
Full papers
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Active Learning using Adaptive Curiosity
A. Bondu and V. Lemaire
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Affordances as a Framework for Robot Control
M. Cakmak, M. Dogar, E. Ugur and E. Sahin
-
Learning a repertoire of postures through sensorimotor training
B. Gabalda, L. Rigoux and O. Sigaud
-
Reflexes from Self-Organizing Control in Autonomous Robots
F. Hesse, R. Der and J.M. Herrmann
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Developing Sensorimotor Associations Through Attachment Bonds
A. Hiolle and L. Canamero
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Modeling Robot Differences by Leveraging A Physically Shared Context
Z. Kira and K. Long
-
Planning-Space Shift Learning toward Flexible Hierarchy Generation
Y. Kobayashi and S. Hosoe
-
Incremental learning of full body motions via adaptive Factorial Hidden Markov Models
D. Kulic, W. Takano and Y. Nakamura
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The Role of Amygdala in Devaluation: A Model Tested with a Simulated Robot
F. Mannella, M. Mirolli and G. Baldassarre
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Adaptation and Social Facilitation in a Population of Autonomous Robots
D. Marocco and A. Acerbi
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A cognitive developmental scenario of transitional motor primitives acquisition
H. Mori and Y. Kuniyoshi
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Learning Distinctions and Rules in a Continuous World through Active Exploration
J. Mugan and B. Kuipers
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Talking Robots: Grounding a Shared Lexicon in an Unconstrained Environment
M. Nottale and J.C. Baillie
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Constructivist Anticipatory Learning Mechanism (CALM) Dealing with Partially
Deterministic and Partially Observable Environments
F.S. Perotto, J.C. Buisson and L.O. Alvares
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Self-Organizing Distinctive State Abstraction Using Options
J. Provost, B.J. Kuipers and R. Miikkulainen
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Human-Robot Interaction Based Learning for Task-Independent Dynamics Prediction
J.C. Quinton and T. Inamura
-
Evolving Childhood's Length and Learning Parameters in an Intrinsically Motivated
Reinforcement Learning Robot
M. Schembri, M. Mirolli and G. Baldassarre
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Modelling the Thing-in-Itself : A Philosophically Motivated Approach to Cognitive Robotics
M.J. Schlemmer, M. Vincze and B. Favre-Bulle
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Simulating Infants' Gaze Patterns during the Development of Perceptual Completion
M. Schlesinger, D. Amso and S.P. Johnson
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Toward Video-Guided Robot Behaviors
A. Stoytchev
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Shaking Eases Object Category Acquisition: Experiments with a Robot Arm
S. Takamuku, K. Hosoda and M. Asada
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Generalization and Specialization in Reinforcement Learning
S. Winberg and C. Balkenius
Posters
Papers not in printed proceedings