Creation of Creative Work Teams using Multi-Agent based Social Simulation

نویسندگان

  • Adrián Bresó
  • Alfonso Pérez
  • Javier Juan-Albarracín
  • Juan Martínez-Miranda
  • Montserrat Robles
  • Juan Miguel García-Gómez
چکیده

Over the past decades, advances in Artificial Intelligence (AI) techniques have investigated the modelling of complex systems. In particular, the use of Multi-Agent Systems (MAS) opened new possibilities for studying different domains using social simulation. In the present work we have implemented and empirically evaluated a Multi-Agent Based Social Simulation (MABSS) system to support the formation of creative work teams. Based on existent psychological and organizational creativity studies, we have modelled a set of personal characteristics and contextual factors to represent and analyse their influence on creativity at both: the individual and the group level. The obtained initial results were significantly better than the results obtained with a pure stochastic model (average improvement of 8.2%). Additionally, we empirically confirm some hypothesis about group formation from the organizational studies.

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تاریخ انتشار 2013