This paper presents a neural network based methodology for examining the learning of game-playing rules in never-before seen games. A network is trained to pick Nash equilibria in a set of games and then released to play a larger set of new games. While faultlessly selecting Nash equilibria in...

Herding arises when an agent's private informationis swamped by public information in what Jackson and Kalai (1997) call a recurring game. The agent will fail to reveal his own information and will follow the actions of his predecessor and, as a result, useful information is lost, which might...

This paper examines experimental evidence relating to herd behaviour in situations when subjects can learn from each other, and can delay their decision. Subject acted rationally, gaining from observational learning, despite penalties for delay. Cascades were ubiquitous and reverse-cascades...