![]() RL introduces a dynamic aspect to this process. In a non-AI-enhanced, traditional blockchain network, nodes follow predetermined rules to reach a consensus. In a blockchain network, nodes are responsible for validating transactions and adding them to the distributed ledger. In the context of blockchain consensus, nodes can utilize RL to optimize decision-making processes. This can significantly enhance the security and efficiency of blockchain networks. Reinforcement learning (RL) involves an AI agent learning through interactions with its environment to achieve a goal. Reinforcement Learning in Consensus Protocols Here are three of the most promising AI techniques that could be used to enhance blockchain consensus protocols. By leveraging AI techniques, these mechanisms aim to improve the fundamental aspects of consensus protocols, making them more efficient, scalable, and adaptable. What Are AI-Enabled Blockchain Consensus Mechanisms?ĪI-enabled blockchain consensus mechanisms combine the power of artificial intelligence with blockchain technology. ![]() Drawbacks of AI-Enabled Blockchain Consensus Mechanisms.Benefits of AI-Enabled Blockchain Consensus Mechanisms.What Are AI-Enabled Blockchain Consensus Mechanisms?.
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