在具有时间延迟的多个cue概率判断系统中,神经对应环境不确定性频谱
Yoo-Sang Chang1, Younho Seong1, Sun Yi2
1Department of Industrial and Systems Engineering, North Carolina A&T State University, Greensboro, NC, United States.
Frontiers in computational neuroscience
|August 1, 2025
概括
在多代理系统 (MAS) 中,人类的判断仍然至关重要. 这项研究发现,不可靠的系统会减少内存负载,而时间延迟不会显著影响决策的内存负载.
科学领域:
- 认知科学 认知科学
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 在多代理系统 (MAS) 中,人类判断对于情境意识至关重要.
- 由于不确定性导致的系统不可靠性可能会损害MAS中的人类决策.
- 马斯的时间延迟可能会降低性能和稳定性,但它们对人类代理物的影响还未得到充分研究.
研究的目的:
- 研究人类的决策过程,在一个不确定性和时间延迟的系统中.
- 了解系统可靠性如何受到不确定性和时间延迟的影响,影响人类的认知负载.
- 在不同的系统条件下,在多个cue判断过程中分析人类认知神经机制.
主要方法:
- 实施预期和意外的不确定性来模拟系统可靠性.
- 引入了三个时间延迟条件:没有,正规和不规则.
- 使用脑电图 (EEG) 来测量决策任务期间的人类认知反应.
主要成果:
- 一个不可靠的系统环境导致了显著减少内存负载,表明对系统规则的依赖程度较低.
- 信息传输延迟,无论规律性如何,都不会显著影响与决策相关的记忆负载.
- 脑电图数据提供了关于人类在不确定性和延迟下判断的神经机制的见解.
结论:
- 由不确定性驱动的系统不可靠性,通过降低认知负载来改变人类的决策.
- 在这种情况下,信息处理的时间延迟似乎不会显著增加人类代理人的记忆负载.
- 了解这些人为因素对于设计可靠和有效的合作系统至关重要.
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