line with a reinforcement learning model, we find that subjects who won a random lottery took significantly more risk in a …

line with a reinforcement learning model, we find that subjects who won a random lottery took significantly more risk in a …

study experimentally to what extent cross-game learning can reduce overbidding in SPAs, taking into account cognitive skills … losses from high bids are more salient than in SPAs. Experience in FPAs causes substantial cross-game learning for … bid shading by cognitively more able participants, resulting in lower profits in FPAs. Thus, cross-game learning has the …

underestimation of learning, even after multiple rounds of performance feedback. Replicating earlier findings by psychologists, we … experiment shows that underpredicting learning leads decision makers to make choices that lower average payoffs …

ability. We study experimentally to what extent cross-game learning can reduce overbidding in SPAs, taking into account …-game learning for cognitively less able participants but does not affect overbidding for the cognitively more able. Vice versa …, 'cross-game learning' may rather be understood as 'cross-game transfer', as it has the potential to benefit bidders with …

Observational learning theories often assume that people's actions can be observed. However, in many naturally … learning under optional disclosure conditions. We further examine empirically how individuals decide whether to reveal …

learning transfers to new games. Current theories of learning model learning as adjustment in behavior in response to feedback … about outcomes and payoffs and largely ignore the possibility that learning may take place in the absence of such feedback … feedback between plays of the game. However, this previous work demonstrates this "no-feedback" learning using a special game …

learning model suggests that subjects react reliably to ex-post losses due to early investment, but react more strongly to … missed investment opportunities. Simulations show that this unbalanced learning process converges on a nearly optimal steady …

This paper experimentally investigates social learning in a two-agent prediction game with both exogenous and …. We find that more efficient observational learning leads to more accurate predictions in the endogenous treatments and … strength. Simultaneous decisions in endogenous ordering avoid observational learning and compensate the higher degree of …

Bateson. Learning requires to recognize a series of situations as identical and then to observe the effect of given variables … hypothesis to be continuously tested. This vision of bounds and learning has many implications for the debate on rationality and …