Using evolutionary computation as models/tools for human decision making and creativity research

Hiroki Sayama, Shelley D. Dionne

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents a review of our recently completed interdisciplinary research project "Evolutionary Perspective on Collective Decision Making" that was conducted through close collaboration between computational, organizational and social scientists at Binghamton University. In this project, we utilized Evolutionary Computation in several non-traditional ways-(1) as a theoretical framework for reinterpreting the dynamics of collective human decision making processes, (2) as a computational simulation model of idea generation and selection, and (3) as a research tool for collecting high-resolution experimental data of actual collaborative design and decision making from human subjects.

Original languageEnglish
Article number6602429
Pages (from-to)35-42
Number of pages8
JournalIEEE Symposium on Artificial Life (ALIFE)
Volume2013-January
Issue numberJanuary
DOIs
Publication statusPublished - 2013
Externally publishedYes

Fingerprint

Creativity
Evolutionary algorithms
Decision Making
Decision making
Research

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Biochemistry, Genetics and Molecular Biology(all)

Cite this

Using evolutionary computation as models/tools for human decision making and creativity research. / Sayama, Hiroki; Dionne, Shelley D.

In: IEEE Symposium on Artificial Life (ALIFE), Vol. 2013-January, No. January, 6602429, 2013, p. 35-42.

Research output: Contribution to journalArticle

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