Show simple item record Qinggang en_US Mark en_US
dc.contributor.editor Stefan en_US
dc.contributor.editor Gunther en_US
dc.contributor.editor Mark en_US 2006-04-06T13:52:35Z 2006-04-06T13:52:35Z 2005 en_US
dc.identifier en_US
dc.identifier 0302-9743 en_US
dc.identifier 978-3-540-31896-5 en_US
dc.identifier.citation Meng , Q & Lee , M 2005 , ' Novelty and Habituation: the Driving Forces in Early Stage Learning for Developmental Robotics ' . in S Wermter , G Palm & M Elshaw (eds) , Biomimetic Neural Learning for Intelligent Robots : Intelligent Systems, Cognitive Robotics, and Neuroscience . vol. 3575 , Lecture Notes in Computer Science , Springer Science+Business Media , pp. 315-332 . , 10.1007/11521082_19 en_US
dc.identifier.other PURE: 1454134 en_US
dc.identifier.other dspace: 2160/99 en_US
dc.description.abstract Biologically inspired robotics offers the promise of future autonomous devices that can perform significant tasks while coping with noisy, real-world environments. In order to survive for long periods we believe a developmental approach to learning is required and we are investigating the design of such systems inspired by results from developmental psychology. Developmental learning takes place in the context of an epigenetic framework that allows environmental and internal constraints to shape increasing competence and the gradual consolidation of control, coordination and skill. In this paper we describe the use of novelty and habituation as the motivation mechanism for a sensory-motor learning process. In our system, a biologically plausible habituation model is utilized and the effect of parameters such as habituation rate and recovery rate on the learning/development process is studied. We concentrate on the very early stages of development in this work. The learning process is based on a topological mapping structure which has several attractive features for sensory-motor learning. The motivation model was implemented and tested through a series of experiments on a working robot system with proprioceptive and contact sensing. Stimulated by novelty, the robot explored its egocentric space and learned to coordinate motor acts with sensory feedback. Experimental results and analysis are given for different parameter configurations, proprioceptive encoding schemes, and stimulus habituation schedules. en_US
dc.publisher Springer Science+Business Media en_US
dc.relation.ispartof Biomimetic Neural Learning for Intelligent Robots en_US
dc.relation.ispartofseries Lecture Notes in Computer Science en_US
dc.title Novelty and Habituation: the Driving Forces in Early Stage Learning for Developmental Robotics en_US
dc.contributor.pbl Department of Computer Science en_US
dc.contributor.pbl Intelligent Robotics Group en_US

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