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 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...

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...

Is majority opinion a better guide to action than a minority view? This paper demonstrates that a direct application of rational herding theory to this novel area can produce a surprisingly counter-intuitive result: given (i) the minority has a clear conformist view and (ii) decision-makers...