This paper considers the use of neural networks to model bounded rational behaviour. The underlying theory and use of neural networks is now a component of various forms of scientific enquiry, be it modelling artificial intelligence, developing better pattern recognition or solving complex...

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 uses data from the popular television game-show, "Deal or No Deal?", to analyse the way individuals make choices under risk. In a unique approach to the problem, I present a formal game-theoretical model of the show in which both the contestant and the banker are modelled as strategic...

Confirmation bias refers to cognitive errors that bias one towards one's own prior beliefs. A vast empirical literature documents its existence and psychologists identify it as one of the most problematic aspects of human reasoning. In this paper, we present three related scenarios where...

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...

The standard simple sequential herding model is altered to allow a firm with a new product to have it reviewed publicly before launch. Reviewers are either inherently pessimistic, optimistic or unbiased. We find the counter-intuitive result that a firm with a good product will prefer a...

We extend the experimental literature on Bayesian herding using evidence from a financial decision-making experiment. We identify significant propensities to herd increasing with the degree of herd-consensus. We test various herding models to capture the differential impacts of Bayesian-style...

The literature on informational cascades and herding theory has for a decade focused on the externality and suboptimal outcomes generated from decision-making when spaces are coarser than private information spaces. Much of the output has therefore been positive, not normative. This paper...