Cooperation in Human and Machine Agents: Promise Theory Considerations
For researchers in multi-agent systems and human-machine interaction, this provides a conceptual framework but is largely a review of existing ideas without new empirical results.
This paper applies Promise Theory to analyze cooperation in human-machine agent systems, offering a unified perspective on organization and functional design. It revisits established principles of agent cooperation to understand how reasoning systems maintain intended purpose.
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.