Bayesian learning provides a core concept of information processing in financial markets. Typically it is assumed that …. Therefore, we extend standard Bayesian learning allowing traders to infer news' precision from two different sources. If … learning ; information quality ; precision signals ; macroeconomic announcements …

learning and price dynamics. Without ambiguity, neither herding nor contrarianism is possible. If there is ambiguity and agents …

driving force of such learning. In contrast, information about the opponent.s payoÞs has almost no eÞect on the learning path … and the belief accuracy in their development over time. -- experiments ; beliefs ; strategic uncertainty ; learning …

current state. Both product value and learning are public goods, which gives the players incentives to free-ride on each …

Learning by following explicit advice is fundamental for human cultural evolution, yet the neurobiology of adaptive … social learning is largely unknown. Here, we used simulations to analyze the adaptive value of social learning mechanisms …, computational modeling of behavioral data to describe cognitive mechanisms involved in social learning, and model-based functional …

theory. We further analyze the relevance of promotions, for which OOS is most pronounced, as essential driver of differences … in customers' OOS reactions. The results of an online experiment demonstrate that customers substitute unavailable items …

shifts can be explained and predicted using context and phantom theory. In a series of experiments, we show that consumers …

prediction is tested experimentally. In an online experiment that was conducted during the FIFA World Cup 2010 participants were …