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

Hiroki Sayama; Shelley D. Dionne

doi:10.1109/ALIFE.2013.6602429

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

Hiroki Sayama, Shelley D. Dionne

Research output: Contribution to journal › Conference article › peer-review

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 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	https://doi.org/10.1109/ALIFE.2013.6602429
Publication status	Published - 2013
Externally published	Yes
Event	4th IEEE International Symposium on Artificial Life, IEEE ALIFE 2013 - Singapore, Singapore Duration: 2013 Apr 16 → 2013 Apr 19

ASJC Scopus subject areas

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

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10.1109/ALIFE.2013.6602429

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title = "Using evolutionary computation as models/tools for human decision making and creativity research",

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.",

author = "Hiroki Sayama and Dionne, {Shelley D.}",

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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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JO - IEEE Symposium on Artificial Life (ALIFE)

JF - IEEE Symposium on Artificial Life (ALIFE)

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T2 - 4th IEEE International Symposium on Artificial Life, IEEE ALIFE 2013

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ER -

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

Abstract

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