用承诺理论统一解释人机协作中的信任与合作机制
Cooperation in Human and Machine Agents: Promise Theory Considerations
- 基于承诺理论分析人机代理间的信号传递与信任建立
- 揭示自主代理在无管理环境下仍能保持目标一致性的原理
- 适合研究人机协同系统设计与组织架构的学者参考
基于代理的系统远比我们想象中普遍。从承诺理论视角看，人机代理系统中的合作提供了对组织与功能设计的统一理解，适用于具有自治特性的各类主体——包括人类、硬件系统、软件及人工智能，无论是否有管理干预。当组件构成的推理系统如何维持既定目标时？随着代理范式因人工智能而复兴，本文重新审视了适用于人类、机器及其交互的代理协作原则。承诺理论阐明了代理间信号、理解、信任、风险与反馈的基本机制，并为成功与失败提供重要启示。
原文摘要 · Abstract (English)
Agent based systems are more common than we may think. A Promise Theory perspective on cooperation, in systems of human-machine agents, offers a unified perspective on organization and functional design with semi-automated efforts, in terms of the abstract properties of autonomous agents, This applies to human efforts, hardware systems, software, and artificial intelligence, with and without management. One may ask how does a reasoning system of components keep to an intended purpose? As the agent paradigm is now being revived, in connection with artificial intelligence agents, I revisit established principles of agent cooperation, as applied to humans, machines, and their mutual interactions. Promise Theory represents the fundamentals of signalling, comprehension, trust, risk, and feedback between agents, and offers some lessons about success and failure.
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