For many years psychological studies of the learning process have used a simulated medical diagnosis task in which … models. Using 123 subjects each in 480 trials, we compare five existing learning models plus several variants, including the …

We present an experiment for the study of learning in a complex task which requires both memorisation and the ability …

The article presents certain ways of understanding a learning organization and its characteristic features. It also … contains the results of a study of twenty–seven Polish enterprises facilitating diagnosis of their learning ability. It has … been shown that learning ability is connected with the performance of the enterprise. The study results make possible the …

We analyze a dynamic principal-agent problem with moral hazard and private learning. Each period the agent faces a …

We have developed a method for directly learning relative preferences from histories of comparison information without …

Traditional macroeconomic learning algorithms are misspecified when all agents are learning simultaneously. In this … paper, we produce a number of learning algorithms that do not share this failing, and show that this enables them to learn … almost any solution, for any parameters, implying learning cannot be used for equilibrium selection. As a by-product, we are …

Retailers may face uncertainty about the profitability of local markets, which provide opportunities for learning when … retail entry with uncertainty and learning (from others). Using novel data about fast food chains, I estimate the model with … firm beliefs about market profitability. The estimates confirm the presence of uncertainty and learning. Most importantly …

of Player 2. We say that beliefs exhibit higher-order learning if the beliefs of Player k about the beliefs of Player k-1 …, higher-order learning fails even after a large number of signals is observed. We argue that this result is driven by base …-rate neglect, heterogeneity in updating processes, and subjects' failure to correctly take learning rules of others into account …

We propose a model of learning when experimentation is possible, but unawareness and ambiguity matter. In this model …