Advanced game theory analysis for crypto protocols, DeFi mechanisms, governance systems, and strategic decision-making. Use when analyzing tokenomics, evaluating protocol incentives, predicting adversarial behavior, designing mechanisms, or understanding strategic interactions in web3.
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Advanced game theory analysis for crypto protocols, DeFi mechanisms, governance systems, and strategic decision-making. Use when analyzing tokenomics, evaluating protocol incentives, predicting adversarial behavior, designing mechanisms, or understanding strategic interactions in web3.
Predicting how rational actors will behave in a system
Identifying attack vectors in DeFi protocols
Modeling liquidity provision strategies
Assessing protocol sustainability
Core Framework
The Five Questions
For any protocol or mechanism, ask:
Who are the players? (Users, LPs, validators, searchers, governance token holders)
What are their strategies? (Actions available to each player)
What are the payoffs? (How does each outcome affect each player?)
What information do they have? (Complete, incomplete, asymmetric?)
(Where do rational actors end up?)
What's the equilibrium?
Analysis Template
## Protocol: [Name]### Players- Player A: [Role, objectives, constraints]
- Player B: [Role, objectives, constraints]
- ...
### Strategy Space- Player A can: [List possible actions]
- Player B can: [List possible actions]
### Payoff Structure- If (A does X, B does Y): A gets [payoff], B gets [payoff]
- ...
### Information Structure- Public information: [What everyone knows]
- Private information: [What only some players know]
- Observable actions: [What can be seen on-chain]
### Equilibrium Analysis- Nash equilibrium: [Stable outcome where no player wants to deviate]
- Dominant strategies: [Strategies that are always best regardless of others]
- Potential exploits: [Deviations that benefit attackers]
### Recommendations- [Design changes to improve incentive alignment]