提出人机协同决策框架，整合人类与AI的异质能力。
An Approach to Joint Hybrid Decision Making between Humans and Artificial Intelligence
- 将人与AI视为决策主体，构建统一智能定义
- 提出联合智能设计空间，涵盖训练、工程与界面
- 以扩展蜂群交互为例，展示协同模式设计
随着人工智能的发展，理解在人机交互中应如何合理使用智能代理变得尤为重要，因为高层次的决策权和责任仍常由人类承担。然而，现有框架缺乏对异质主体的整合能力，也未能融合人因工程与人工智能等多学科知识。为此，本文提出联合混合智能框架，将人类与人工智能抽象为决策主体，并基于决策能力给出通用智能定义，适用于不同类型的代理。该框架进一步构建了相互关联的联合混合智能设计空间，旨在整合人类与人工智能的异质能力。其核心是联合代理工程，通过开发联合代理模式，将操作员训练、人工智能工程与界面设计三个子空间有机集成。文章以‘扩展蜂群’式人-蜂群交互为例，展示了此类模式的实际应用潜力。
原文摘要 · Abstract (English)
Due to the progress in artificial intelligence, it is important to understand how capable artificial agents should be used when interacting with humans, since high level authority and responsibility often remain with the human agent. However, integrated frameworks are lacking that can account for heterogeneous agents and draw on different scientific fields, such as human-factors engineering and artificial intelligence. Therefore, joint hybrid intelligence is described as a framework abstracting humans and artificial intelligence as decision making agents. A general definition of intelligence is provided on the basis of decision making competence being applicable to agents of different sorts. This framework is used for proposing the interrelated design space of joint hybrid intelligence being aimed at integrating the heterogeneous capabilities of humans and artificial intelligence. At the core of this design space lies joint agent engineering with the goal of integrating the design subspaces operator training, artificial intelligence engineering, and interface design via developing joint agent patterns. The ''extended swarming'' approach to human-swarm interaction is discussed as an example of such a pattern.
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