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08/24/2004 10:10 AM by Nathan Sturtevant; equilibria with unknown payoffs

My background is in Computer Science / Artificial Intelligence, so I'm trying to get more familiar with game theoretical work outside my field.

I'm studying the computation of equilibria in multi-player game trees. I've found a concept that is particularly useful in practice: the idea that we know the payoffs only within some epsilon. This defines a broader set of equilibria within the game then if we knew the payoffs were exact. Can anyone point me to any other work has followed this line of thought?

It's sort of like a trembling hand equilibrium, except that we don't necessarily make mistakes in our actions, just our calculations of the payoffs.

Thanks! [Manage messages]