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 language | English |
|---|---|
| Article number | 6602429 |
| Pages (from-to) | 35-42 |
| Number of pages | 8 |
| Journal | IEEE Symposium on Artificial Life (ALIFE) |
| Volume | 2013-January |
| Issue number | January |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
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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 journal › Article
}
TY - JOUR
T1 - Using evolutionary computation as models/tools for human decision making and creativity research
AU - Sayama, Hiroki
AU - Dionne, Shelley D.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=84931405104&partnerID=8YFLogxK
U2 - 10.1109/ALIFE.2013.6602429
DO - 10.1109/ALIFE.2013.6602429
M3 - Article
AN - SCOPUS:84931405104
VL - 2013-January
SP - 35
EP - 42
JO - IEEE Symposium on Artificial Life (ALIFE)
JF - IEEE Symposium on Artificial Life (ALIFE)
SN - 2160-6374
IS - January
M1 - 6602429
ER -