A rigorous reconstruction of scenario-based real choice making reveals the incompleteness of decision-modeling and the practical prevalence of uncertainty. Theoretically complete models conceal it. As a remedy a scenario-based procedure of coping with uncertainty can prescribe how the boundedly...

Deriving advice that can in fact be utilized by boundedly rational decision makers is a central function of modeling choice making. We illustrate why this role is not being fulfilled well by standard models of full rationality and that theories of bounded rationality are needed not only for...

We characterize the unique Markov perfect equilibrium of a tug-of-war without exogenous noise, in which players have the opportunity to engage in a sequence of battles in an attempt to win the war. Each battle is an all-pay auction in which the player expending the greater resources wins. In...

Traditional game theory usually relies on commonly known decision rationality meaning that choices are made in view of their consequences (the shadow of the future). Evolutionary game theory, however, denies any cognitive deliberation by assuming that choice behavior evolves due to its past...

Can one deamp;#64257;ne and test the hypothesis of (un)bounded rationality in stochastic choice tasks without endorsing Bayesianism? Similar to the state speciamp;#64257;city of assets, we rely on state-speciamp;#64257;c goal formation. In a given choice task, the list of state-speciamp;#64257;c goal levels is...