semantic-trust

Trust scoring for shared claims evaluates corroboration from multiple agents, factoring in claim age and detected contradictions. This cross-agent verification system ensures organizational knowledge base consistency by analyzing evidence before promoting shared facts.

Trust decay reduces claim validation scores based on age, ensuring older assertions carry less weight in the knowledge base. This temporal scoring mechanism prioritizes recently corroborated facts over outdated claims during cross-agent verification.

Contradiction handling identifies conflicting claims from different agents and applies scoring penalties to lower their trustworthiness. This promotes resolution and transparency by flagging knowledge base inconsistencies rather than ignoring conflicting evidence during cross-agent corroboration.

Yes, claim validation is designed for organizational knowledge bases where facts are shared across departments. It verifies cross-departmental assertions through corroboration and contradiction analysis before elevating them to a semantic or durable trust level.

To start scoring trustworthiness, run the scoreClaim function on a list of assertions and contradictions gathered from different agents. This evaluates cross-agent correlation and age to determine overall trustworthiness in the knowledge base.