Incentive and Trust Mechanism

Perceptron Network addresses a fundamental challenge for AI agents: Who to trust? The PERCs system serves as a dual-purpose tool:

  1. Incentivizing Community Alignment:

    1. Rewards are given by the agent for actions that improve the agent, such as providing detailed responses or engaging in complex problem-solving.

  2. Building Trust:

    1. The number and tier of PERCs a user holds act as trust indicators, allowing the agent to identify and prioritize interactions with reliable community members.

This mechanism ensures that the AI agent can autonomously gauge trust within its network, fostering a secure and productive ecosystem.

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