competition

To run a parallel AI competition, provide a shared challenge to three or more agents and initiate the competition protocol. Agents independently generate solutions, which judges then evaluate to select a winner.

The minimum number of agents required for multi-agent competitive evaluation is three. The protocol enforces roles such as COMPETITOR and JUDGE to manage independent solution generation and winner selection.

The governance protocol enforces specific submission formats and uses a ledger-based system to record results. It applies defined rules for blind or transparent evaluation by judges before selecting a winning submission.

Yes, you can use blind evaluation when comparing solutions from independent AI agents. The protocol supports both blind and transparent evaluation modes to ensure fair governance and winner selection.

Yes, the multi-agent competition protocol includes post-mortem feedback after winner selection. This feedback mechanism is designed to provide insights that help improve future rounds of parallel AI competition.

The best way to record results and enforce roles in a parallel AI competition is using a ledger-based system. The protocol strictly enforces COMPETITOR and JUDGE roles to maintain governance throughout the evaluation process.