Using Evolutionary Computation as Models/Tools for Human Decision Making and Creativity Research

被引：0

作者：

Sayama, Hiroki ^{[1
]}

Dionne, Shelley D. ^{[2
]}

机构：

[1] SUNY Binghamton, Collect Dynam Complex Syst Res Grp, Binghamton, NY 13902 USA

[2] SUNY Binghamton, Sch Management, Ctr Leadership Studies, Binghamton, NY 13902 USA

来源：

2013 IEEE SYMPOSIUM ON ARTIFICIAL LIFE (ALIFE) | 2013年

基金：

美国国家科学基金会;

关键词：

Evolution of ideas; human decision making; collaborative design; creativity; agent-based simulation; human subject experiments; evolutionary computation; hyperinteractive evolutionary computation; MENTAL MODEL; PERFORMANCE; ANONYMITY; DYNAMICS; DESIGN;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：35 / 42

页数：8

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