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 proceedingConference contribution

    2 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 languageEnglish
    Title of host publicationProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages4965-4970
    Number of pages6
    ISBN (Electronic)9781467397148
    DOIs
    Publication statusPublished - 2016 Aug 3
    Event28th Chinese Control and Decision Conference, CCDC 2016 - Yinchuan, China
    Duration: 2016 May 282016 May 30

    Other

    Other28th Chinese Control and Decision Conference, CCDC 2016
    CountryChina
    CityYinchuan
    Period16/5/2816/5/30

    Fingerprint

    Recurrent neural networks
    Recurrent Neural Networks
    Cognitive Architecture
    Coding
    Model
    Internal
    Unit
    Emotion
    Perception

    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)

    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 (pp. 4965-4970). [7531882] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC.2016.7531882

    A hierarchical emotion regulated sensorimotor model : Case studies. / Zhong, Junpei; Novianto, Rony; Dai, Mingjun; Zhang, Xinzheng; Cangelosi, Angelo.

    Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 4965-4970 7531882.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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
    Zhong J, Novianto R, Dai M, Zhang X, Cangelosi A. A hierarchical emotion regulated sensorimotor model: Case studies. In Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 4965-4970. 7531882 https://doi.org/10.1109/CCDC.2016.7531882
    Zhong, Junpei ; Novianto, Rony ; Dai, Mingjun ; Zhang, Xinzheng ; Cangelosi, Angelo. / A hierarchical emotion regulated sensorimotor model : Case studies. Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 4965-4970
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