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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2
Constructing Symbols as Manipulable Structures by Recurrent Networks
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
J.G. Taylor, King's College London
N.R. Taylor, King's College London
B Apolloni, University of Milan
C Orovas, University of Milan
A simple approach is developed to use semantics as defined by virtual actions to guide the construction of manipulable symbol representations for objects and actions, in particular to obtain a model of syntactic processing in the developing infant. This uses a simplified model of the frontal lobes, and in particular, the various sets of neurons involved in the process of chunking of temporal sequences observed in monkeys. The manner in which such neurons play a role in phrase structure grammar is elucidated at a simple level.
Citation:
J.G. Taylor, N.R. Taylor, B Apolloni, C Orovas, "Constructing Symbols as Manipulable Structures by Recurrent Networks," ijcnn, vol. 2, pp.2099, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 2, 2000
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