PIE: A Data-Driven Payoff Inference Engine for Strategic Security Applications
IEEE Transactions on Computational Social Systems, pp. 42-57, 2020.
Although most game theory models assume that payoff matrices are provided as input, getting payoff matrices in strategic games (e.g., corporate negotiations and counter-terrorism operations) has proven difficult. To tackle this challenge, we propose a payoff inference engine (PIE) that finds payoffs assuming that players in a game follow ...More
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