Collective human decision making and creativity processes can be understood 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 several testable hypotheses using agent-based computer simulations. The hypotheses were then examined through several experiments with real human subjects. Throughout this study, 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.
Hiroki Sayama is an Associate Professor in the Department of Systems Science and Industrial Engineering, and the Director of the Center for Collective Dynamics of Complex Systems (CoCo), at Binghamton University, State University of New York. He received his B.Sc., M.Sc. and D.Sc. in Information Science, all from the University of Tokyo, Japan. He did his postdoctoral work at the New England Complex Systems Institute in Cambridge, Massachusetts. His research interests include complex dynamical networks, human and social dynamics, collective behaviors, artificial life/chemistry, and interactive systems, among others. He is an expert of mathematical/computational modeling and analysis of various complex systems. He has published more than 100 peer-reviewed journal articles and conference proceedings papers and has edited nine books and conference proceedings about complex systems related topics. He currently serves as an elected Council member of the Complex Systems Society (CSS), an Associate Editor of Artificial Life (MIT Press), and as an editorial board member for Complex Adaptive Systems Modeling (SpringerOpen), International Journal of Parallel, Emergent and Distributed Systems (Taylor & Francis), Applied Network Science (SpringerOpen), and Complex & Intelligent Systems (SpringerOpen).
Department of Systems Science and Industrial Engineering, Director of the Center for Collective Dynamics of Complex Systems (CoCo), Binghamton University
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