人与机器的新社会学
Milena Tsvetkova1, Taha Yasseri2,3,4, Niccolo Pescetelli5,6
1Department of Methodology, London School of Economics and Political Science, London, UK. m.tsvetkova@lse.ac.uk.
Nature human behaviour
|October 22, 2024
概括
机器人,机器人和算法越来越多地融入社会,形成复杂的人机系统. 了解这些系统需要新的社会学方法,以确保具有弹性的集体结果.
科学领域:
- 社会科学 社会科学 社会科学
- 计算机科学 计算机科学
- 系统工程 系统工程
背景情况:
- 机器人,机器人和算法在沟通,社会互动和经济交易中越来越普遍.
- 复杂的社会系统是从人类和智能机器的互动中产生的.
- 这些系统中的集体结果不能仅仅从人类或机器行为中预测.
研究的目的:
- 审查复杂的社会系统中人机相互作用的研究.
- 确定竞争,协调,合作,传染和集体决策中的一般动态和模式.
- 为理解和管理人机社区提出一个新的框架.
主要方法:
- 审查最近关于人机系统的研究.
- 分析竞争,协调,合作,传播和集体决策的动态.
- 来自高频交易,社交媒体,开放协作和讨论论坛的案例研究.
主要成果:
- 在各种环境中确定了人机交互的一般动态和模式.
- 展示了涉及人类和机器的复杂社会系统的新兴特性.
- 突出了单独研究人类或机器行为的局限性.
结论:
- 人与机器的新社会学对于强大而有弹性的人机社区是必要的.
- 复杂的系统方法对于研究这些新兴的社会系统至关重要.
- 人工智能对于人机交互和监管治理的明确设计至关重要.
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