agentprivacy-promise-theory

Promise Theory models voluntary cooperation through polarity, cooperation semantics, and promise graphs to establish trust in privacy-preserving AI architectures and Verifiable Relationship Credentials.

Apply the VRC-as-promise architecture to model bilateral assessments and promise-keeping, ensuring the decentralized identity system relies on voluntary cooperation and verifiable promises rather than imposed compliance.

The VRC-as-promise architecture embodies bilateral assessment by mapping Verifiable Relationship Credentials to conditional promises within the 0xagentprivacy framework, detailing how agents evaluate and keep promises bilaterally.

Yes, this approach addresses open problems for Promise Theory researchers specifically related to belief, evidence, and promise scope within the context of privacy-preserving AI architectures and the 0xagentprivacy framework.

Polarity in Promise Theory defines the directional nature of promises between agents, explaining how obligations and expectations are structured within a dual-agent architecture to ensure verifiable bilateral cooperation.

Promise Theory may not suit architectures requiring centralized imposed compliance over voluntary cooperation, as it fundamentally relies on bilateral assessments, conditional promises, and cooperative semantics within decentralized frameworks.