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Detecting Emotions with Smart Resource Artifacts in MAS

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Distributed Computing and Artificial Intelligence, 13th International Conference

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 474))

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Abstract

This article proposes an application of a social emotional model, which allows to extract, analyze, represent and manage the social emotion of a group of entities. Specifically, the application is based on how music can influence in a positive or negative way over emotional states. The proposed approach employs the JaCalIVE framework, which facilitates the development of this kind of environments. The framework includes a design method and a physical simulator. In this way, the social emotional model allows the creation of simulations over JaCalIVE, in which the emotional states are used in the decision-making of the agents.

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Author information

Authors and Affiliations

  1. Departamento de Sistemas Informáticos y Computación (DSIC), Universitat Politècnica de València, Camino de Vera s/n, Valencia, Spain

    Jaime Andres Rincon, Vicente Julian & Carlos Carrascosa

  2. Departamento de Ingeniería de Sistemas y Automática (DISCA), Universitat Politècnica de València, Camino de Vera s/n, Valencia, Spain

    Jose-Luis Poza-Lujan & Juan-Luis Posadas-Yagüe

Authors
  1. Jaime Andres Rincon
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  2. Jose-Luis Poza-Lujan
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  3. Juan-Luis Posadas-Yagüe
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  4. Vicente Julian
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  5. Carlos Carrascosa
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Corresponding author

Correspondence to Vicente Julian .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, Osaka Institute of Technology Faculty of Engineering, Osaka, Osaka, Japan

    Sigeru Omatu

  2. Faculty of Computer Science & Informatio, Universiti Teknologi Malaysia (UTM) Faculty of Computer Science & Informatio, Baharu, Malaysia

    Ali Semalat

  3. Department of Electronics and Compu, Koszalin University of Technology Department of Electronics and Compu, Koszalin, Poland

    Grzegorz Bocewicz

  4. Faculty of Electrical Engineering and Cs, Kielce University of Technology Faculty of Electrical Engineering and Cs, Kielce, Poland

    Paweł Sitek

  5. Faculty of Engineering and Science, Aalborg University Faculty of Engineering and Science, Aalborg, Denmark

    Izabela E. Nielsen

  6. ETS Ingeniería Informática, University of Sevilla ETS Ingeniería Informática, Sevilla, Spain

    Julián A. García García

  7. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid Departamento de Inteligencia Artificial, Madrid, Spain

    Javier Bajo

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Rincon, J.A., Poza-Lujan, JL., Posadas-Yagüe, JL., Julian, V., Carrascosa, C. (2016). Detecting Emotions with Smart Resource Artifacts in MAS. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 13th International Conference. Advances in Intelligent Systems and Computing, vol 474. Springer, Cham. https://doi.org/10.1007/978-3-319-40162-1_35

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  • DOI: https://doi.org/10.1007/978-3-319-40162-1_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40161-4

  • Online ISBN: 978-3-319-40162-1

  • eBook Packages: EngineeringEngineering (R0)

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