Mechanism Design, Incentive Alignment
The Auction Rigger
The Auction Rigger is a Mechanism Design and Incentive Alignment scenario illustrating Instead of predicting behavior in a bad game, redesign the game. You're in charge of assigning office spaces at work. There are 10 offices, 15 people, and 3 corner offices everyone wants. DecisionPlay maps the players, payoffs, and equilibrium dynamics that shape how this situation typically resolves.
Frequently Asked Questions
- What game theory model does this scenario illustrate?
- The Auction Rigger illustrates Mechanism Design, Incentive Alignment. Instead of predicting behavior in a bad game, redesign the game
- What is the Nash equilibrium?
- DecisionPlay computes equilibria using best-response iteration and support enumeration. See the interactive analysis for this scenario.
- Is this based on a real situation?
- Yes. DecisionPlay's library is drawn from real-world conflicts, negotiations, and decisions.
- How accurate is the analysis?
- DecisionPlay uses a deterministic game-theoretic core with an LLM-based classifier. Verify edge cases against the structural module.
- Do I need an account?
- No. DecisionPlay is free and requires no login.