Studying Collective Human Decision Making and Creativity with Evolutionary Computation
Hiroki Sayama, Shelley D. Dionne

TL;DR
This paper presents an interdisciplinary study using evolutionary computation to model, simulate, and analyze collective human decision making and creativity as an evolution of idea ecologies, supported by experiments with human subjects.
Contribution
It introduces a novel evolutionary perspective on collective decision making, applying EC as a theoretical, simulation, and data collection tool in social science research.
Findings
EC provides a new framework for understanding idea evolution.
Simulations align with human decision-making behaviors.
Experimental data supports the evolutionary model of collaboration.
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…
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Taxonomy
TopicsMusic Technology and Sound Studies · Data Visualization and Analytics · Design Education and Practice
