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Studying Collective Human Decision Making and Creativity with Evolutionary Computation.

Hiroki Sayama, Shelley D Dionne1

  • 1Binghamton University.

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|August 18, 2015
PubMed
Summary

Collective decision-making and creativity can be viewed as evolving idea ecologies. This research used evolutionary computation (EC) to model and test hypotheses on human collaboration dynamics.

Keywords:
Evolution of ideasagent-based simulationcollaborative designcollective human decision makingcreativityevolutionary computationhuman subject experimentshyperinteractive evolutionary computation

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Area of Science:

  • Interdisciplinary research
  • Computational social science
  • Evolutionary computation

Background:

  • Collective decision-making and creativity are complex phenomena.
  • Existing models may not fully capture the dynamics of idea evolution in groups.

Purpose of the Study:

  • To reframe collective human decision-making and creativity through an evolutionary lens.
  • To develop and test hypotheses using agent-based simulations and human experiments.
  • To explore novel applications of evolutionary computation in social science research.

Main Methods:

  • Developed an "ecologies of ideas" framework.
  • Utilized agent-based computer simulations to model idea evolution.
  • Conducted experiments with human subjects to test hypotheses derived from the model.

Main Results:

  • Generated and validated hypotheses on collective decision-making dynamics.
  • Demonstrated the utility of evolutionary computation as a theoretical and empirical tool.
  • Collected high-resolution experimental data on collaborative processes.

Conclusions:

  • Evolutionary computation offers a powerful, non-traditional approach to studying human and social dynamics.
  • The "ecologies of ideas" framework provides new insights into group creativity and decision-making.
  • This interdisciplinary approach highlights the potential of computational methods in social sciences.