Social Welfare for Automatic Innovation

  • Juan A. Garcá-Pardo
  • C. Carrascosa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6973)

Abstract

Individuals inside a society can make organizational changes by modifying their behavior. These changes can be guided by the outcome of the actions of every individual in the society. Should the outcome be worse than expected, they would innovate to find a better solution to adapt the society to the new situation automatically.

Following these ideas, a novel social agent model, based on emotions and social welfare, is proposed in this paper. Also, a learning algorithm based on this model, as well as a case of study to test its validity, are given.

Keywords

Nash Equilibrium Social Welfare Emotional Response Reinforcement Learning Emotional Stimulus 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Juan A. Garcá-Pardo
    • 1
  • C. Carrascosa
    • 1
  1. 1.Universitat Politácnica de ValénciaValenciaSpain

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