A Computational Analysis of Joint Decision Making Processes

  • Rob Duell
  • Jan Treur
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7710)


In this paper a computational analysis is made of the circumstances under which joint decisions are or are not reached. Joint decision making as considered does not only concern a choice for a common decision option, but also a good feeling about it, and mutually acknowledged empathic understanding. As a basis a computational social agent model for joint decision making is used. The model was inspired by principles from neurological theories on mirror neurons, internal simulation, and emotion-related valuing. The computational analysis determines the different possible outcomes of joint decision making processes, and the types of processes leading to these outcomes.


Mirror Neuron Positive Feeling Joint Decision Common Choice Mirror Neuron System 
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 2012

Authors and Affiliations

  • Rob Duell
    • 1
  • Jan Treur
    • 1
  1. 1.Agent Systems Research GroupVU University AmsterdamAmsterdamThe Netherlands

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