This paper experimentally investigates the nature of impulses in impulse learning. Particularly, we analyze whether …

and they cannot observe other agents' actions or payoffs. Theory shows that even when players have no such information …, simple payoff-based learning rules eventually lead to equilibrium. Such rules have previously been documented for some forms … laboratory setting and finds strong confirmation for key features of payoff-based learning that distinguish it from classical …

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 …

taking an (irreversible) action. We define \textit{asymptotic learning} as the fraction of agents taking the correct action … converging to one as a society grows large. Under truthful communication, we show that asymptotic learning occurs if (and under … ``information hubs'', which receive and distribute a large amount of information. Asymptotic learning therefore requires information …

pricing. We simulate a self-learning algorithm setting personalized prices based on additional information about consumer …

independent sampling (observing multiple outgroup members) promotes learning about outgroups more than prolonged interaction with …