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Intelligent System of Emergent Knowledge: A Coordination Fabric for Billions of Minds

Multiagent Systems 2025-06-12 v1 Artificial Intelligence

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 sovereignty is maintained through NFT-based identity management. This synthesis of blockchain technology, artificial intelligence, and incentive engineering creates an infrastructure that actively facilitates emergent intelligence. ISEK represents a paradigm shift from conventional platforms, enabling the organic development of large-scale, decentralized cognitive systems where autonomous agents collectively evolve beyond centralized constraints.

Keywords

Cite

@article{arxiv.2506.09335,
  title  = {Intelligent System of Emergent Knowledge: A Coordination Fabric for Billions of Minds},
  author = {Moshi Wei and Sparks Li},
  journal= {arXiv preprint arXiv:2506.09335},
  year   = {2025}
}

Comments

11 pages, 1 figures,