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

  1. RINCÓN, Jaime 1
  2. POZA, Jose Luis 1
  3. POSADAS, Juan Luis 1
  4. JULIÁN, Vicente 1
  5. CARRASCOSA, Carlos 1
  1. 1 Valencia Polytechnic University
Revista:
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

ISSN: 2255-2863

Año de publicación: 2016

Volumen: 5

Número: 4

Páginas: 85-92

Tipo: Artículo

DOI: 10.14201/ADCAIJ2016548592 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal

Resumen

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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Fuente de los datos: Dialnet