KLK Sync Nexus
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English
  • Whitepaper
    • Introduction
    • About KLK Sync Nexus
    • Technical Framework
      • Dynamic Collaboration Pool (DCP)
      • AI Game-Theoretic Oracle
      • Proof of Time Power (PoTP)
      • Liquidity Sharding Protocol
      • Asset Permission Declaration
    • Operational Mechanism
      • Model Overview: KSN Six-Dimensional Collaborative Economic Flywheel
      • AI Treasury Contract
      • Bond Issuance Contract
      • Time Power Proof Contract
    • AI Incentive Model
    • Tokenomics
    • KSN Ecosystem
      • Core DeFi Ecosystem
      • Collaborative Power Mapping
      • Compliance Financial System
    • DAO Governance
    • Risk Control
    • Roadmap
    • Core Developers
    • Legal Disclaimer
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  1. Whitepaper

DAO Governance

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Last updated 8 days ago

The KSN governance framework draws inspiration from Stanford's AI Town Governance Experiment, specifically its principle of Data-Driven Autonomy (DDA). By integrating decentralized AI (Decentralized AI) models, KSN builds an intelligent and highly adaptive DeFi governance system. The core goals are to enhance governance efficiency, streamline decision-making processes, and increase the governance weight for long-term participants.

Multi-Agent Collaborative Governance

Intelligent Governance Agents (IGA)

  • Trained with Reinforcement Learning (RL), these AI agents analyze governance proposals and provide optimal execution strategies.

  • Leveraging Natural Language Processing (NLP) to parse community proposals, IGAs build data models and perform impact assessments.

  • IGAs continuously improve their decision-making capabilities by supervising governance data, such as voting outcomes, parameter adjustments, and protocol changes.

Distributed AI Decision Network

  • Governance decisions no longer rely solely on community voting. Instead, they incorporate multi-dimensional data, including AI predictions of market trends, liquidity fluctuations, and arbitrage behaviors.

  • AI autonomously generates proposal priorities by analyzing on-chain data, enhancing governance efficiency.

  • Governance decision data is stored using a Merkle Tree structure, ensuring decentralization, transparency, and immutability.

PoTP Governance Weighting

The Proof of Time Power (PoTP) is used as the core metric for governance weighting.

Formula for Calculating Governance Voting Weight

PoTPᵢ: User's Time Power Points.

GovernanceActivityScoreᵢ: User's governance activity score (such as number of proposals, number of votes, pass rate, etc.).

α: Dynamically adjusted by the AI oracle to optimize the weight of long-term governors.

High PoTP holders can obtain greater voting power, enhancing the influence of long-term governors and preventing short-term arbitrageurs from manipulating governance decisions.

AI-Driven Proposal Evaluation

After a proposal is submitted, the AI oracle performs multi-dimensional analysis, including:

  • Economic Impact Analysis: Simulate the long-term impact of the proposal on the KSN ecosystem.

  • Liquidity Flow Modeling: Predict the impact of the proposal on the DCP fund pool.

  • Security Risk Assessment: Identify potential vulnerabilities or protocol risks.

The AI calculates the probability of the proposal's approval and provides visual analysis to the community, enhancing governance transparency.

Adaptive Governance Optimization

Combining Game Theory and AI training models, dynamically optimize the execution path of governance decisions.

AI agents adjust proposal thresholds, voting mechanisms, incentive distributions, and other parameters in real-time based on governance data feedback.

Adopt On-Chain Stress Testing to simulate governance impacts under different market conditions, improving protocol resilience.

Automated Smart Contract Execution

Once a governance proposal passes, the smart contract executes automatically, reducing human intervention and improving execution efficiency.

Use zk-SNARK to protect privacy in proposal calculations, ensuring governance data security.

The AI oracle continuously monitors the status of governance contracts, detecting abnormal behaviors and issuing warnings.

Enhanced Mechanisms for Decentralized Governance

AI-Driven Voting Incentives

Users participating in governance can earn PoTP rewards, increasing governance participation.

The AI oracle automatically calculates voting contributions and provides additional governance rewards.

Malicious Governance Protection (Sybil & Governance Attack Protection)

Adopt a Reputation-Based Governance mechanism to detect governance attacks.

AI monitors abnormal governance behaviors, such as malicious voting after large short-term governance token staking.

By deeply integrating the core concepts of the Stanford AI Town governance experiment, KSN has established an efficient, intelligent, adaptive decentralized governance system to ensure the long-term stability and sustainable development of the KSN ecosystem.