Studying Collective Human Decision Making and Creativity with Evolutionary Computation

Hiroki Sayama, Shelley D. Dionne

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

We report a summary of our interdisciplinary research project "Evolutionary Perspective on Collective Decision Making" that was conducted through close collaboration between computational, organizational, and social scientists at Binghamton University. We redefined collective human decision making and creativity as evolution of ecologies of ideas, where populations of ideas evolve via continual applications of evolutionary operators such as reproduction, recombination, mutation, selection, and migration of ideas, each conducted by participating humans. Based on this evolutionary perspective, we generated hypotheses about collective human decision making, using agent-based computer simulations. The hypotheses were then tested through several experiments with real human subjects. Throughout this project, we utilized evolutionary computation (EC) in non-traditional ways - (1) as a theoretical framework for reinterpreting the dynamics of idea generation and selection, (2) as a computational simulation model of collective human decision-making processes, and (3) as a research tool for collecting high-resolution experimental data on actual collaborative design and decision making from human subjects. We believe our work demonstrates untapped potential of EC for interdisciplinary research involving human and social dynamics.

Original languageEnglish
Pages (from-to)379-393
Number of pages15
JournalArtificial Life
Volume21
Issue number3
DOIs
Publication statusPublished - 2015 Jan 1

Keywords

  • Agent-based simulation
  • Collaborative design
  • Collective human decision making
  • Creativity
  • Evolution of ideas
  • Evolutionary computation
  • Human subject experiments
  • Hyperinteractive evolutionary computation

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Artificial Intelligence

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