Adding real data to detect emotions by means of smart resource artifacts in MAS

  • Jaime Rincón
    Valencia Polytechnic University
  • Jose Luis Poza
    Valencia Polytechnic University
  • Juan Luis Posadas
    Valencia Polytechnic University
  • Vicente Julián
    Valencia Polytechnic University vinglada[at]dsic.upv.es
  • Carlos Carrascosa
    Valencia Polytechnic University

Abstract

This article proposes an application of a social emotional model, which allows to extract, analyse, 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. A physical device called smart resource offers to agents processed sensor data as a service. So that, agents obtain real data from a smart resource. MAS uses the smart resource as an artifact by means of a specific communications protocol. 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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Rincón, J., Poza, J. L., Posadas, J. L., Julián, V., & Carrascosa, C. (2016). Adding real data to detect emotions by means of smart resource artifacts in MAS. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 5(4), 85–92. https://doi.org/10.14201/ADCAIJ2016548592

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