A hierarchical emotion regulated sensorimotor model: Case studies

Junpei Zhong; Rony Novianto; Mingjun Dai; Xinzheng Zhang; Angelo Cangelosi

doi:10.1109/CCDC.2016.7531882

A hierarchical emotion regulated sensorimotor model: Case studies

Junpei Zhong, Rony Novianto, Mingjun Dai, Xinzheng Zhang, Angelo Cangelosi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

Inspired by the hierarchical cognitive architecture and the perception-action model (PAM) [14], we propose that the internal status acts as a kind of common-coding representation which affects, mediates and even regulates the sensorimotor behaviours. These regulation can be depicted in the Bayesian framework, that is why cognitive agents are able to generate behaviours with subtle differences according to their emotion or recognize the emotion by perception. A novel recurrent neural network called recurrent neural network with parametric bias units (RNNPB) runs in three modes, constructing a two-level emotion regulated learning model, was further applied to testify this theory in two different cases.

Original language	English
Title of host publication	Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4965-4970
Number of pages	6
ISBN (Electronic)	9781467397148
DOIs	https://doi.org/10.1109/CCDC.2016.7531882
Publication status	Published - 2016 Aug 3
Event	28th Chinese Control and Decision Conference, CCDC 2016 - Yinchuan, China Duration: 2016 May 28 → 2016 May 30

Other

Other	28th Chinese Control and Decision Conference, CCDC 2016
Country/Territory	China
City	Yinchuan
Period	16/5/28 → 16/5/30

Keywords

Cognitive Architecture
Embodied Emotion Modelling
Non-verbal Emotion Expression
Recurrent Neural Networks
Social Robotics

ASJC Scopus subject areas

Control and Systems Engineering
Control and Optimization
Statistics, Probability and Uncertainty
Artificial Intelligence
Decision Sciences (miscellaneous)

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10.1109/CCDC.2016.7531882

Cite this

Zhong, J, Novianto, R, Dai, M, Zhang, X & Cangelosi, A 2016, A hierarchical emotion regulated sensorimotor model: Case studies. in Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016., 7531882, Institute of Electrical and Electronics Engineers Inc., pp. 4965-4970, 28th Chinese Control and Decision Conference, CCDC 2016, Yinchuan, China, 16/5/28. https://doi.org/10.1109/CCDC.2016.7531882

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author = "Junpei Zhong and Rony Novianto and Mingjun Dai and Xinzheng Zhang and Angelo Cangelosi",

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doi = "10.1109/CCDC.2016.7531882",

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T2 - 28th Chinese Control and Decision Conference, CCDC 2016

AU - Zhong, Junpei

AU - Novianto, Rony

AU - Dai, Mingjun

AU - Zhang, Xinzheng

AU - Cangelosi, Angelo

PY - 2016/8/3

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N2 - Inspired by the hierarchical cognitive architecture and the perception-action model (PAM) [14], we propose that the internal status acts as a kind of common-coding representation which affects, mediates and even regulates the sensorimotor behaviours. These regulation can be depicted in the Bayesian framework, that is why cognitive agents are able to generate behaviours with subtle differences according to their emotion or recognize the emotion by perception. A novel recurrent neural network called recurrent neural network with parametric bias units (RNNPB) runs in three modes, constructing a two-level emotion regulated learning model, was further applied to testify this theory in two different cases.

AB - Inspired by the hierarchical cognitive architecture and the perception-action model (PAM) [14], we propose that the internal status acts as a kind of common-coding representation which affects, mediates and even regulates the sensorimotor behaviours. These regulation can be depicted in the Bayesian framework, that is why cognitive agents are able to generate behaviours with subtle differences according to their emotion or recognize the emotion by perception. A novel recurrent neural network called recurrent neural network with parametric bias units (RNNPB) runs in three modes, constructing a two-level emotion regulated learning model, was further applied to testify this theory in two different cases.

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KW - Embodied Emotion Modelling

KW - Non-verbal Emotion Expression

KW - Recurrent Neural Networks

KW - Social Robotics

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A hierarchical emotion regulated sensorimotor model: Case studies

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Keywords

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