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Some thoughts on curiosity in infants and neural network models

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

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Some thoughts on curiosity in infants and neural network models. / Westermann, Gert; Twomey, Katherine.

2014. Paper presented at First interdisciplinary symposium on Information-seeking, curiosity and attention, Bordeaux, France.

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

Harvard

Westermann, G & Twomey, K 2014, 'Some thoughts on curiosity in infants and neural network models', Paper presented at First interdisciplinary symposium on Information-seeking, curiosity and attention, Bordeaux, France, 6/11/14 - 7/11/14.

APA

Westermann, G., & Twomey, K. (2014). Some thoughts on curiosity in infants and neural network models. Paper presented at First interdisciplinary symposium on Information-seeking, curiosity and attention, Bordeaux, France.

Vancouver

Westermann G, Twomey K. Some thoughts on curiosity in infants and neural network models. 2014. Paper presented at First interdisciplinary symposium on Information-seeking, curiosity and attention, Bordeaux, France.

Author

Westermann, Gert ; Twomey, Katherine. / Some thoughts on curiosity in infants and neural network models. Paper presented at First interdisciplinary symposium on Information-seeking, curiosity and attention, Bordeaux, France.

Bibtex

@conference{892bc2d2ba574a3b87db5e5ca41710be,
title = "Some thoughts on curiosity in infants and neural network models",
abstract = "Studies on young infants' learning of objects and categories often present infants with a sequence of individual stimuli in a fixed or randomized order. However, according to the formalization of curiosity based learning infants should select stimuli systematically on the basis of their prior knowledge in order to optimize learning. It is therefore possible that the results from experimental studies represent an epiphenomenon of the underlying curiosity-based learning process. Likewise, computational models of infant learning which aim to reveal the mechanisms underlying the learning process rely on sequential presentation of stimuli in a way similar to the experimental work and might therefore be unable to capture curiosity as a driver for learning.Here I will discuss how infants' display of learning in traditional tasks relates to potential curiosity based learning. I also will discuss how the formalization of curiosity relates to learning in neural network models, and I hope to be able to present some pilot data from curiosity based modelling.",
author = "Gert Westermann and Katherine Twomey",
year = "2014",
language = "English",
note = "First interdisciplinary symposium on Information-seeking, curiosity and attention ; Conference date: 06-11-2014 Through 07-11-2014",

}

RIS

TY - CONF

T1 - Some thoughts on curiosity in infants and neural network models

AU - Westermann, Gert

AU - Twomey, Katherine

PY - 2014

Y1 - 2014

N2 - Studies on young infants' learning of objects and categories often present infants with a sequence of individual stimuli in a fixed or randomized order. However, according to the formalization of curiosity based learning infants should select stimuli systematically on the basis of their prior knowledge in order to optimize learning. It is therefore possible that the results from experimental studies represent an epiphenomenon of the underlying curiosity-based learning process. Likewise, computational models of infant learning which aim to reveal the mechanisms underlying the learning process rely on sequential presentation of stimuli in a way similar to the experimental work and might therefore be unable to capture curiosity as a driver for learning.Here I will discuss how infants' display of learning in traditional tasks relates to potential curiosity based learning. I also will discuss how the formalization of curiosity relates to learning in neural network models, and I hope to be able to present some pilot data from curiosity based modelling.

AB - Studies on young infants' learning of objects and categories often present infants with a sequence of individual stimuli in a fixed or randomized order. However, according to the formalization of curiosity based learning infants should select stimuli systematically on the basis of their prior knowledge in order to optimize learning. It is therefore possible that the results from experimental studies represent an epiphenomenon of the underlying curiosity-based learning process. Likewise, computational models of infant learning which aim to reveal the mechanisms underlying the learning process rely on sequential presentation of stimuli in a way similar to the experimental work and might therefore be unable to capture curiosity as a driver for learning.Here I will discuss how infants' display of learning in traditional tasks relates to potential curiosity based learning. I also will discuss how the formalization of curiosity relates to learning in neural network models, and I hope to be able to present some pilot data from curiosity based modelling.

M3 - Conference paper

T2 - First interdisciplinary symposium on Information-seeking, curiosity and attention

Y2 - 6 November 2014 through 7 November 2014

ER -