Strategic interaction describes situations where the outcome for an individual participant depends not only on their own actions but also on the actions taken by other participants. This concept is fundamental to game theory and applies to scenarios involving competition, cooperation, or negotiation among rational agents. Understanding these dynamics is key to predicting behavior.
Context
In the realm of digital assets and decentralized systems, strategic interaction is frequently observed in governance proposals, market dynamics, and protocol design. Discussions often involve how incentive mechanisms can be structured to encourage desired behaviors and deter adverse actions from participants. The analysis of these interactions helps in designing more resilient and effective decentralized protocols.
This research leverages game theory to model Maximal Extractable Value dynamics, proposing commit-reveal and threshold encryption mechanisms to enhance DeFi fairness.
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