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- W3119253923 abstract "This paper introduces a continuous-time incomplete information game to model the negotiation process of human-machine cooperative decision making called the n-stage war of attrition. It extends the scope of the conventional war of attrition to describe incomplete information coordination settings among two players with more than two different action options and with a time-dependent cost function. At each stage of the game, players try to outlast each other facing the trade-off between increasing disagreement costs and valuation difference between the currently chosen action to the next highest valuated action. The required number of stages for reaching the agreement on one decision option is unknown throughout the game. The proposed solution strategy is a formalism to determine the thresholds for conceding which maximize the expected payout w.r.t. the valuation difference density function of the other player. We prove that the associated symmetric strategy profile leads to a perfect Bayesian equilibrium. Towards the designated application of the n-stage war of attrition, this work also addresses the inverse game problem. We introduce an identification method to estimate the opponent's valuation difference density function and provide results that document the identification ability." @default.
- W3119253923 created "2021-01-18" @default.
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- W3119253923 date "2020-12-14" @default.
- W3119253923 modified "2023-09-26" @default.
- W3119253923 title "The n-Stage War of Attrition and its Inverse Game Towards its Application in Human-Machine Cooperative Decision Making" @default.
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- W3119253923 doi "https://doi.org/10.1109/cdc42340.2020.9303952" @default.
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