I just had a pretty long conversation with Arthur Breitman, whose leading the Tezos project.
Tezos uses Approval Voting and I wanted to suggest Arthur consider the Bayesian Regret framework and perhaps go even further. He was aware of Score Voting and Condorcet, but says that his deeper interest is actually in the game theory of the decision making process at a more system level.
For instance, he cited the game Nomic.
It starts with simple rules can be amended. The ideal is that edits to the system should stay in the best interest of the group over time, which isn't just about the voting method but also about how incentives are created. He posited the situation:
Proposal
- Arthur gets a million dollars.
- All the money from all the money who bet against the rule is distributed equally to the people who voted against the rule.
So the decision could be bad because it just causes inflation, but individuals still want to vote for it because it helps them individually.
One proposal (I couldn't understand the name he gave for it) is to take bets on whether a proposal will be good or bad for the "economy". E.g. say we had a bill to reduce CO2 emissions, and people could place a bet that pays out if it really does reduce CO2. Then you pass bills if the bids are correct.
Thing is, who gets to decide whether the bill passes if people think it'll lower CO2 vs. increase? Maybe Arthur has a plan for that too. I'm skeptical that there's much you can do other than just use a good voting system. But I did want to run this by Warren, Andy, and Jameson at least.