HuGoS: A Multi-user Virtual Environment for Studying Human-Human Swarm Intelligence
HuGoS: A Multi-user Virtual Environment for Studying Human-Human Swarm Intelligence
复制标题
HuGoS：用于研究人与人群体智能的多用户虚拟环境
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
M. Dorigo
中科院分区：
文献类型：
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作者：
Nicolas Coucke;M. K. Heinrich;Axel Cleeremans;M. Dorigo
。人-人游泳智能的研究课题包括许多机制，需要在多受试者的受控实验条件下进行研究。虚拟环境是一种有用的工具，可以隔离特定的人类互动进行研究，但目前的平台只支持一小部分可能的研究领域。在本文中，我们介绍了HuGoS -“人类去蜂群”- Unity中的多用户虚拟环境，作为人类群体智能实验的综合工具。我们确定了可能用于研究人类集体行为的实验班，并为我们的虚拟环境配备了足够的功能来支持这些实验班。然后，我们通过三个实验课的简单示例演示了虚拟环境的功能：人类集体决策，人类社会学习策略，以及代理级人类与人工群体（包括机器人群体）的交互。
. The research topic of human–human swam intelligence includes many mechanisms that need to be studied in controlled experiment conditions with multiple human subjects. Virtual environments are a useful tool to isolate specific human interactions for study, but current platforms support only a small scope of possible research areas. In this paper, we present HuGoS—‘Humans Go Swarming’—a multi-user virtual environment in Unity, as a comprehensive tool for experimentation in human–human swarm intelligence. We identify possible experiment classes for studying human collective behavior, and equip our virtual environment with sufficient features to support each of these experiment classes. We then demonstrate the functionality of the virtual environment in simple examples for three of the experiment classes: human collective decision making, human social learning strategies, and agent-level human interaction with artificial swarms, including robot swarms.