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Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives ...
Zhong, Junpei
;
Cangelosi, Angelo
;
Wermter, Stefan
. - : arXiv, 2020
Abstract:
The acquisition of symbolic and linguistic representations of sensorimotor behavior is a cognitive process performed by an agent when it is executing and/or observing own and others' actions. According to Piaget's theory of cognitive development, these representations develop during the sensorimotor stage and the pre-operational stage. We propose a model that relates the conceptualization of the higher-level information from visual stimuli to the development of ventral/dorsal visual streams. This model employs neural network architecture incorporating a predictive sensory module based on an RNNPB (Recurrent Neural Network with Parametric Biases) and a horizontal product model. We exemplify this model through a robot passively observing an object to learn its features and movements. During the learning process of observing sensorimotor primitives, i.e. observing a set of trajectories of arm movements and its oriented object features, the pre-symbolic representation is self-organized in the parametric units. ...
Keyword:
Artificial Intelligence cs.AI
;
Computation and Language cs.CL
;
FOS Computer and information sciences
;
Neural and Evolutionary Computing cs.NE
URL:
https://dx.doi.org/10.48550/arxiv.2006.11465
https://arxiv.org/abs/2006.11465
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