Operant Conditioning Learning Model in the Bionic Experiment

A learning model based on the operant conditioning mechanism (OCLM) is presented in this paper to deal with the autonomous learning problem in cognitive robotics. The model is described by 9 elements, including the space set, the action set, the bionic learning function and the system entropy etc. T...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 373-375; pp. 255 - 264
Main Authors Zhang, Xiao Ping, Ruan, Xiao Gang, Huang, Jing, Fan, Qing Wu
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.08.2013
Subjects
Cognitive Robotics
Operant Conditioning Learning Model
Skinner Rat Experiment
Autonomous Learning
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Summary:A learning model based on the operant conditioning mechanism (OCLM) is presented in this paper to deal with the autonomous learning problem in cognitive robotics. The model is described by 9 elements, including the space set, the action set, the bionic learning function and the system entropy etc. To describe the learning mechanism which is the core of the model, a new notion negative ideal degree(NID) is defined. We also prove the convergence of OCLM to indicate that the model is a self-organization system. OCLM has been applied to simulating the Skinner rat experiment. The results show that this model can well simulate the animals operant conditioning behavior, acquire the cognitive skills through the interaction with the environment and achieve self-learning and self-adaptability.
Bibliography:Selected, peer reviewed papers from the 2013 International Conference on Mechatronics, Robotics and Automation (ICMRA 2013), June 13-14, 2013, Guangzhou, China
ISBN:3037858060
9783037858066
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.373-375.255