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首页> 外文会议>International Simulation and Gaming Association Conference >Group-Based Learning and Group Composition on the Provision of Public Goods: Incorporating Agent-Based Simulation and Gaming
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Group-Based Learning and Group Composition on the Provision of Public Goods: Incorporating Agent-Based Simulation and Gaming

机译：基于集团的学习和集体组成，提供公共产品：包含基于代理的模拟和游戏

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摘要

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.
机译：对现代社会福利的集体贡献在现代社会福利方面变得重要，对其潜在机制的理解对培养贡献至关重要。在公共服务贡献和合作的背景下，基于集团的学习提高使用工具贡献在线内容并进行集体活动的能力很重要，但其影响仍不清楚。这项工作包括基于代理的模拟和游戏，以调查基于集团的学习在异构群体中的影响，其中个人在其贡献能力方面不同。我们向基于代理的模型展开公共产品游戏，其中包括基于组的学习机制，除了从环境或过去的经验中的影响之外还探讨个人的协作决定。设计并播放相应的游戏会话以三角化模拟结果，并有可能改善进一步的仿真模型。仿真结果表明，具有主管人士的小组易于贡献更多。基于小组的学习在与高成本相关的贡献的背景下更有效，同时其影响因其他因素而被认为是对过去经验的高响应速度，在那些易于操作的贡献中。

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