Group-Based Learning and Group Composition on the Provision of Public Goods: Incorporating Agent-Based Simulation and Gaming
Group-Based Learning and Group Composition on the Provision of Public Goods: Incorporating Agent-Based Simulation and Gaming
复制标题
公共物品提供的基于小组的学习和小组组成：结合基于代理的模拟和游戏
DOI：
10.1007/978-3-030-72132-9_12
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
H. Deguchi
中科院分区：
文献类型：
--
作者：
Shuang Chang;H. Deguchi
集体对公共产品的贡献在现代社会福利中变得越来越重要，对其潜在机制的理解对于培养集体对公共产品的贡献至关重要。在公共服务贡献和协作的背景下，小组学习对提高使用工具贡献在线内容和开展集体活动的能力很重要，但其影响尚不清楚。这项工作结合了基于代理的模拟和博弈来研究基于群体的学习对异质性群体中个体贡献能力不同的合作的影响。我们将公共产品博弈拓展为基于主体的模型，并结合基于群体的学习机制来探索个体在环境或过去经验影响下的合作决策。设计并播放相应的游戏会话以三角测量模拟结果，并具有进一步改进模拟模型的潜力。模拟结果表明，有能力的个体组成的小群体倾向于贡献更多。在与高成本相关的贡献情况下，基于小组的学习更为有效，而在那些易于操作的贡献中，其影响被其他因素所压倒，例如对过去经验的高反应率。
Collective contribution to public goods is becoming important in modern social welfare and the understanding of its underlying mechanisms is critical to cultivate the contribution. Under the context of public service contribution and collaboration, group-based learning on improving the ability of using tools to contribute online contents and to conduct collective activities is important, yet its impact is still unclear. This work incorporates agent-based simulation and gaming to investigate the impact of group-based learning on cooperation in heterogeneous groups where individuals differ in their ability to contribute. We unfold public goods game to agent-based models incorporating a group-based learning mechanism to explore the individuals’ collaborative decision in addition to the influence from either the environment or from their past experience. A corresponding gaming session is designed and played to triangulate the simulation results, and has the potential to improve further simulation models. Simulation results suggest that small groups with competent individuals are prone to contribute more. Group-based learning is more effective in the context of contributions associated with a high cost whilst its influence is overwhelmed by other factors, such as a high responsive rate to the past experience, in those easy-to-operate contributions.