Evolutionary Perspective on Collective Decision Making

集体决策的进化视角

基本信息

批准号：
0826711
负责人：
Hiroki Sayama
金额：
$ 55.21万
依托单位：
SUNY at Binghamton
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2008
资助国家：
美国
起止时间：
2008-09-01 至 2012-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0826711&HistoricalAwards=false
关键词：
Evolutionary Perspective Collective Decision Making

项目摘要

Collective decision making plays an increasingly important role everywhere in today?s human society. Existing literature addresses issues in collective decision making with linear statistical analysis or relatively simple dynamical modeling. Either approach is still limited in capturing the complexity of real human decision making dynamics that typically involve high-dimensional nonlinear problem space, nontrivial societal structure, within-individual cognitive and behavioral patterns, and/or between-individual diversity. In this project the PIs will develop a novel conceptual/computational multi-level model of the dynamics of complex collective decision making by shifting the viewpoint from the dynamics of participants to the dynamics of ideas being discussed. Collective decision making will be redefined as evolution of ecologies of ideas over a social network habitat, where populations of potential solutions evolve via continual applications of evolutionary operators such as reproduction, recombination, mutation, selection, and migration of solutions, each conducted by participating humans. The effects of various model as-sumptions on collective decision making will be studied through computer simulations, and their results will be evaluated through experiments of team decision making on complex collaborative tasks with human subjects. This project will generate a novel perspective on human and social dynamics by introducing evolutionary principles and methodologies into the modeling of their complex behaviors, making a theoretical advancement from a traditional, individually-focused psychological or social science paradigm to a more dynamic, multilevel, evolutionary paradigm for collective social processes. A number of practical implications will be produced, e.g., the effects of coherence of shared information and organizational structure within teams upon their exploratory and adaptive performances, which will be widely applicable to current issues that many human organizations are facing today. The outcomes of this project will be integrated into undergraduate and graduate education at Binghamton University.

集体决策在当今人类社会中无处不在，发挥着越来越重要的作用。现有文献通过线性统计分析或相对简单的动态建模来解决集体决策中的问题。这两种方法在捕捉真实人类决策动态的复杂性方面仍然受到限制，这些决策动态通常涉及高维非线性问题空间、重要的社会结构、个体内部认知和行为模式和/或个体之间的多样性。在这个项目中，PI 将通过将观点从参与者的动态转移到正在讨论的想法的动态来开发一种新颖的概念/计算多级模型，用于复杂集体决策的动态。集体决策将被重新定义为社交网络栖息地上思想生态的进化，其中潜在解决方案的群体通过进化算子的不断应用而进化，例如解决方案的繁殖、重组、突变、选择和迁移，每个解决方案都由参与的人类进行。将通过计算机模拟研究各种模型假设对集体决策的影响，并通过与人类受试者进行复杂协作任务的团队决策实验来评估其结果。该项目将通过将进化原理和方法引入人类复杂行为的建模中，产生关于人类和社会动态的新颖视角，从传统的、以个人为中心的心理或社会科学范式到更加动态、多层次、进化的理论进步集体社会进程的范式。将产生许多实际影响，例如，团队内共享信息和组织结构的一致性对其探索性和适应性绩效的影响，这将广泛适用于许多人类组织当今面临的当前问题。该项目的成果将纳入宾厄姆顿大学的本科生和研究生教育。