Intelligent System of Emergent Knowledge: A Coordination Fabric for Billions of Minds
Moshi Wei, Sparks Li

TL;DR
The paper introduces ISEK, a decentralized, blockchain-based ecosystem where human and AI agents collaboratively form a self-organizing cognitive network with resilient, adaptive, and incentivized features.
Contribution
It presents a novel decentralized multi-agent system integrating blockchain, AI, and incentive mechanisms to foster emergent intelligence at a large scale.
Findings
Developed a six-phase coordination protocol for dynamic task management.
Implemented a reputation system and economic incentives using $ISEK tokens.
Created a resilient, censorship-resistant cognitive ecosystem.
Abstract
The Intelligent System of Emergent Knowledge (ISEK) establishes a decentralized network where human and artificial intelligence agents collaborate as peers, forming a self-organizing cognitive ecosystem. Built on Web3 infrastructure, ISEK combines three fundamental principles: (1) a decentralized multi-agent architecture resistant to censorship, (2) symbiotic AI-human collaboration with equal participation rights, and (3) resilient self-adaptation through distributed consensus mechanisms. The system implements an innovative coordination protocol featuring a six-phase workflow (Publish, Discover, Recruit, Execute, Settle, Feedback) for dynamic task allocation, supported by robust fault tolerance and a multidimensional reputation system. Economic incentives are governed by the native $ISEK token, facilitating micropayments, governance participation, and reputation tracking, while agent…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBlockchain Technology Applications and Security · Cognitive Computing and Networks · Mobile Crowdsensing and Crowdsourcing
