August 30, 2023International Journal of Science and Research Archive

Adaptive reinforcement learning agents coordinated through blockchain smart contracts for dynamic governance in decentralized autonomous multi-agent ecosystems

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Adaptive reinforcement learning enhances decision-making in decentralized systems, improving cooperation among agents.
Simulations showed that integration with blockchain governance reduces risks of collusion and free-riding.
This approach combines decentralized and autonomous features to create a robust governance framework.
The study highlights that smart contracts can enforce accountability and transparent governance rules for agents.

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Implication

This framework demonstrates how adaptive reinforcement learning agents improve governance in decentralized ecosystems, suggesting enhanced transparency with blockchain smart contracts.

Cite This Study

Oluwadare Joshua Oyebode (2023) studied this question.

synapsesocial.com/papers/68af80717567bf4f94ff71eb https://doi.org/10.30574/ijsra.2023.9.2.0557

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Implication

This framework demonstrates how adaptive reinforcement learning agents improve governance in decentralized ecosystems, suggesting enhanced transparency with blockchain smart contracts.

Adaptive reinforcement learning agents coordinated through blockchain smart contracts for dynamic governance in decentralized autonomous multi-agent ecosystems

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Discussion

Implication

Cite This Study

Adaptive reinforcement learning agents coordinated through blockchain smart contracts for dynamic governance in decentralized autonomous multi-agent ecosystems

Key Points

Discussion

Implication

Cite This Study

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