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走向流动的人与代理合作:从动态协作模式到思维理论推理模型
Florian Schröder1, Fabian Heinrich1, Stefan Kopp1
1Social Cognitive Systems Group, Faculty of Technology/CITEC, Bielefeld University, Bielefeld, Germany.
Frontiers in robotics and AI
|August 18, 2025
概括
流动协作 (FC) 涉及灵活的任务和资源变化,需要动态的思维理论 (ToM) 推理. 人类自然会在最少的沟通下参与FC,这项研究探讨了使人工智能代理人能够进行这种协作.
科学领域:
- 人与计算机的交互
- 人工智能的人工智能
- 认知科学 认知科学
背景情况:
- 现实生活中的协作是动态的,不是预先计划的,需要灵活的协调.
- 流动协作 (FC) 涉及基于环境和代理需求的频繁任务和资源转移.
- 有效的FC需要实时,以行动为导向的思维理论 (ToM) 来推断意图和信念.
研究的目的:
- 探索在人与代理相互作用中实现流体协作 (FC).
- 引入合作美食 (CoCu) 作为一个动态的协作环境.
- 开发能够参与FC的人工剂.
主要方法:
- 介绍了合作美食 (CoCu),这是一个为动态协作提供交互环境.
- 在CoCu.Cu.中对人与人的协作进行了实证研究.
- 为人工智能代理提供了一个动态,资源合理和行动驱动的ToM推理模型.
主要成果:
- 证明了FC可以经验性地测量.
- 显示人类自然地参与FC,沟通量最小,思维效率高.
- 介绍了迈向能够为FC动态思维和行动计划的人工智能代理人的初步步骤.
结论:
- 流体协作是一种自然的人类交互模式.
- 动态,以行动为导向的ToM对于在动态环境中有效的人与代理合作至关重要.
- 开发具有先进思维能力的AI代理是无FC的关键.
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