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1
IEEE TCDS SI Language Development n_v = 223 (social) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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IEEE TCDS SI Language Development n_v = 50 (autonomousl) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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3
IEEE TCDS SI Language Development n_v = 50 (social) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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4
IEEE TCDS SI Language Development n_v = 50 (social) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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5
IEEE TCDS SI Language Development n_v = 50 (autonomous) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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6
IEEE TCDS SI Language Development n_v = 223 (autonomous) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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7
IEEE TCDS SI Language Development n_v = 223 (autonomous) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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8
IEEE TCDS SI Language Development n_v = 123 (social) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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9
IEEE TCDS SI Language Development n_v = 223 (social) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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10
IEEE TCDS SI Language Development n_v = 323 (social) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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11
IEEE TCDS SI Language Development n_v = 123 (autonomous) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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12
IEEE TCDS SI Language Development n_v = 323 (social) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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13
IEEE TCDS SI Language Development n_v = 123 (autonomousl) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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14
IEEE TCDS SI Language Development n_v = 50 (autonomous) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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15
IEEE TCDS SI Language Development n_v = 323 (autonomous) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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16
IEEE TCDS SI Language Development n_v = 123 (social) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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17
IEEE TCDS SI Language Development n_v = 323 (autonomous) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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18
IEEE TCDS SI Language Development n_v = 123 (autonomous) ...
Valle, Juan Manuel Acevedo. - : figshare, 2017
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19
Autonomous Discovery of Motor Constraints in an Intrinsically-Motivated Vocal Learner ...
Abstract: This work introduces new results on the modeling of early-vocal development using artificial intelligent cognitive architectures and a simulated vocal tract. The problem is addressed using intrinsically-motivated learning algorithms for autonomous sensorimotor exploration, a kind of algorithm belonging to the active learning architectures family. The artificial agent is able to autonomously select goals to explore its own sensorimotor system in regions where its competence to execute intended goals is improved. We propose to include a somatosensory system to provide a proprioceptive feedback signal to reinforce learning through the autonomous discovery of motor constraints. Constraints are represented by a somatosensory model which is unknown beforehand to the learner. Both the sensorimotor and somatosensory system are modeled using Gaussian mixture models. We argue that using an architecture which includes a somatosensory model would reduce redundancy in the sensorimotor model and drive the learning process ...
Keyword: 170203 Knowledge Representation and Machine Learning; 170204 Linguistic Processes incl. Speech Production and Comprehension; 90602 Control Systems, Robotics and Automation; FOS Electrical engineering, electronic engineering, information engineering; FOS Psychology
URL: https://figshare.com/collections/Autonomous_Discovery_of_Motor_Constraints_in_an_Intrinsically-Motivated_Vocal_Learner/3676645/1
https://dx.doi.org/10.6084/m9.figshare.c.3676645.v1
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20
Autonomous Discovery of Motor Constraints in an Intrinsically-Motivated Vocal Learner ...
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