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...

This paper considers the impact of reviewers on the sale of a product of unknown quality. Sales occur simultaneously after an initial review by an unbiased, pessimistic or optimistic reviewer and we examine the impact on sales in each case. We find that counter-intuitively a pessimistic reviewer...

Experience gained in a workplace characterised by decision-making and learning-by-doing is modelled via a process of signal accumulation under several different frameworks. We initially look at the probability of success based on uninterrupted signal accumulation, then consider the impact of...