Traditionally the emphasis in neural network research has been on improving their performance as a means of pattern recognition. Here we take an alternative approach and explore the remarkable similarity between the under-performance of neural networks trained to behave optimally in economic...

We develop a framework in which: (i) a firm can have a new product tested publicly before launch; and (ii) tests vary in toughness, holding expertise fixed. Price flexibility boosts the strong positive impact on consumer beliefs of passing a tough test and mitigates the strong negative impact of...

We exploit a unique opportunity to study how a large population of players in the field learn to play a novel game with a complicated and non-intuitive mixed strategy equilibrium.  We argue that standard models of belief-based learning and reinforcement learning are unable to explain the data,...

History offers many examples of dictators who worsened their behavior significantly over time (like Zimbabwe's Robert Mugabe), while there are also cases of dictators who have displayed remarkable improvements (like Jerry Rawlings of Ghana).  We show that such mutations can result from rational...

This paper considers a simple adaptive learning rule in Bayesian games where players employ threshold strategies. Global convergence results are given for supermodular games and potentital games.