Cooperation in Human and Machine Agents: Promise Theory Considerations
arXiv cs.AI / 4/14/2026
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Key Points
- The paper proposes using Promise Theory to analyze and design cooperation across systems involving human and machine agents, including semi-automated efforts and mixed socio-technical setups.
- It frames agent coordination around abstract properties such as signalling, comprehension, trust, risk, and feedback to address how components can adhere to intended purposes.
- It revisits established principles of agent cooperation in the context of the renewed “agent paradigm,” specifically relating these ideas to modern AI agents.
- The work aims to unify organizational and functional design considerations for cooperation across humans, hardware, software, and AI—whether or not management is present.
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