kaal:claim:4855607-032

GNNs and web3 systems optimize each other through mutual feedback effects, and it is this bidirectional learning, rather than one system merely serving the other, that produces an evolutionary dynamic optimization process.

Source quote, verbatim
The integration and optimization of AI models such as GNNs and web3 systems happens in feedback effects between the two systems. Through these feedback effects both systems learn constantly from and with each other which results in an evolutionary dynamic optimization process.
From

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024), GNN Optimization, p. 48
https://ssrn.com/abstract=4855607 · source PDF

Cite as

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607

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mechanismsupport: assertedai-and-agentscitation-and-knowledgeinstitutional-design

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