Cooperation in Human and Machine Agents: Promise Theory Considerations

This project is a theoretical contribution rather than a software product, evidenced by the 0 stars and 2-day age. It leverages Promise Theory—a formal model of decentralized system management pioneered by Mark Burgess—and applies it to the burgeoning field of autonomous AI agents. While the intellectual foundation is deep and rigorous, the 'defensibility' in a commercial sense is non-existent as there is no code, dataset, or network effect yet. Frontier labs like OpenAI or Anthropic are currently focused on empirical alignment (RLHF) and scale, making them unlikely to adopt formal promise-based logic in the near term, which keeps the frontier risk low. The primary value lies in providing a conceptual roadmap for 'intentional' agent systems that avoid the pitfalls of top-down command and control. Compared to practical frameworks like CrewAI or LangGraph, this is a 'layer 0' philosophical approach. It would require a reference implementation (e.g., a coordination protocol) to achieve a higher score.