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通过人类-动物团队模型了解人类-自治团队
Heather C Lum1, Elizabeth K Phillips2
1Human Systems Engineering, Fulton School of Engineering, Arizona State University.
Topics in cognitive science
|November 28, 2023
概括
人与动物的团队类比为开发社交机器人提供了洞察力. 这篇文章考察了当前的模型和挑战,将这种类比应用于人机自主团队,以加强人机交互.
科学领域:
- 人与机器人的交互 (HRI)
- 人工智能 (AI) 是一种人工智能.
- 认知科学 认知科学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 人类的社会能力是复杂的,涉及解释,预测和对他人的行为作出反应.
- 开发具有相似社会能力的计算系统对于智能人机代理至关重要.
- 人与动物的团队为理解和构建有效的人与动物自主团队提供了潜在的类比.
研究的目的:
- 探索人类和动物团队对创造精确机器人的心理模型的实用性.
- 为人类自主团队使用人-动物团队模型确定挑战和局限性.
- 审查现有的关于人与动物相互作用及其计算表征的研究.
主要方法:
- 人与动物团队研究和计算建模的文献综述.
- 对现有的人与动物团队的数字双胞胎模型进行分析.
- 在将人与动物类比应用于人与动物自主系统时,确定关键问题和挑战.
主要成果:
- 人与动物团队当前的数字双胞胎往往不完整,限制了它们的直接应用.
- 人与动物的类比为培养机器人的真实心理模型提供了一个框架.
- 在将人与动物动态的洞察力转化为人与机器人的协作方面存在重大挑战.
结论:
- 人与动物的团队类比对于推进机器人社会智能和人机交互非常有价值.
- 需要进一步的研究来完善计算模型并解决类比中的局限性.
- 准确的心理模型对于机器人作为人类自主团队中的有能力合作伙伴至关重要.
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