Game theoretic consensus refers to a class of decentralized agreement protocols where network participants are incentivized to act honestly through carefully designed economic rewards and penalties. These protocols rely on game theory to model participant behavior, ensuring that acting in one’s own self-interest aligns with the overall security and stability of the system. Participants are motivated to follow protocol rules to maximize their utility. This approach helps secure distributed networks.
Context
Game theoretic consensus mechanisms are central to the security and resilience of proof-of-stake blockchains and other distributed ledger technologies. Current research focuses on refining incentive structures to prevent collusion and adapt to changing economic conditions. The ongoing evaluation of these models aims to enhance their robustness against various attack scenarios and ensure long-term network health.
A novel Proof-of-Learning mechanism replaces Byzantine security with incentive-security, provably aligning rational agents to build a decentralized AI compute market.
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