Learning in Games with Cumulative Prospect Theoretic Preferences

Soham R. Phade () and Venkat Anantharam ()
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Soham R. Phade: University of California, Berkeley
Venkat Anantharam: University of California, Berkeley

Dynamic Games and Applications, 2023, vol. 13, issue 1, No 11, 265-306

Abstract: Abstract We consider repeated games where the players behave according to cumulative prospect theory (CPT). We show that, when the players have calibrated strategies and behave according to CPT, the natural analog of the notion of correlated equilibrium in the CPT case, as defined by Keskin, is not enough to capture all subsequential limits of the empirical distribution of action play. We define the notion of a mediated CPT correlated equilibrium via an extension of the stage game to a so-called mediated game. We then show, along the lines of the result of Foster and Vohra about convergence to the set of correlated equilibria when the players behave according to expected utility theory that, in the CPT case, under calibrated learning the empirical distribution of action play converges to the set of all mediated CPT correlated equilibria. We also show that, in general, the set of CPT correlated equilibria is not approachable in the Blackwell approachability sense. We observe that a mediated game is a specific type of a game with communication, as introduced by Myerson, and as a consequence, we get that the revelation principle does not hold under CPT.

Keywords: Cumulative prospect theory; Game theory; Repeated games; Calibrated learning; Correlated equilibrium; No-regret learning (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s13235-021-00398-9

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