A hierarchical emotion regulated sensorimotor model: Case studies

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

    研究成果: Conference contribution

    4 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ホスト出版物のタイトルProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ4965-4970
    ページ数6
    ISBN(電子版)9781467397148
    DOI
    出版ステータスPublished - 2016 8 3
    イベント28th Chinese Control and Decision Conference, CCDC 2016 - Yinchuan, China
    継続期間: 2016 5 282016 5 30

    Other

    Other28th Chinese Control and Decision Conference, CCDC 2016
    国/地域China
    CityYinchuan
    Period16/5/2816/5/30

    ASJC Scopus subject areas

    • 制御およびシステム工学
    • 制御と最適化
    • 統計学、確率および不確実性
    • 人工知能
    • 決定科学(その他)

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