PIE: A Data-Driven Payoff Inference Engine for Strategic Security Applications

Haipeng Chen
Haipeng Chen
Edoardo Serra
Edoardo Serra
Yanhai Xiong
Yanhai Xiong

IEEE Transactions on Computational Social Systems, pp. 42-57, 2020.

Cited by: 0|Bibtex|Views62|DOI:https://doi.org/10.1109/TCSS.2019.2957178
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Other Links: dblp.uni-trier.de

Abstract:

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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