Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)

Use Spreading Activation to Model E2 Level in Representation Redescription

Authors
Xixu Fu, Xizhang Gong
Corresponding Author
Xixu Fu
Available Online March 2018.
DOI
https://doi.org/10.2991/acaai-18.2018.36How to use a DOI?
Keywords
representational redescription; spreading activation; knowledge acquisition; multiplication
Abstract

Representational redescription is an important theory which describes conceptualization as an implicit to explicit process. This paper analyzed stages in the description in two dimensions on structural formation and generalization respectively. Focus on the structural formation dimension, this paper advanced a hypothesis based on spreading activation theory. The hypothesis was used to explain the acquisition of express solving multiplication problem.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
978-94-6252-483-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/acaai-18.2018.36How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xixu Fu
AU  - Xizhang Gong
PY  - 2018/03
DA  - 2018/03
TI  - Use Spreading Activation to Model E2 Level in Representation Redescription
BT  - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
PB  - Atlantis Press
SP  - 155
EP  - 158
SN  - 1951-6851
UR  - https://doi.org/10.2991/acaai-18.2018.36
DO  - https://doi.org/10.2991/acaai-18.2018.36
ID  - Fu2018/03
ER  -