Research Projects

Small world of words

How is lexical knowledge organised in the mind? One way to examine this is to look at which words immediately spring to mind when another word is mentioned. This project collected the largest data set on word associations in English, examining associations between 12,292 cue words, collected from about 90,000 people between 2011 and 2018

Paper Github Homepage

When extremists win

How does the process of information transmission affect the cultural or linguistic products that emerge out of that process? This project illustrates how "iterated learning" systems are disproportionately influenced by learners with the strongest biases.

Paper Github

What do the experts know?

Forensic handwriting examiners currently testify to the origin of questioned handwriting for legal purposes. This study is the first to examine whether handwriting experts are able to estimate the frequency of US handwriting features more accurately than novices. We consider several methods for aggregating predictions from multiple experts: substantial improvements in expert predictions are possible when a hierarchical Bayesian method is used.

Paper OSF repository

None of the above

In everyday life we constantly encounter new people, events, objects etc that don't fit neatly into any of our old categories. When this happens we need to "reject" our existing categories and "discover" a new one. In this project we investigated the inductive biases that people bring to this "novelty detection" problem.

Paper Github Experiments

Bayesian cognition revisited

Are people really "rational" Bayesian reasoners? This is a recurring question in cognitive science, one that we revisit in this paper. We argue that there are two qualitatively different ways in which a Bayesian model could be constructed. One approach is to use Bayes rule as a normative standard upon which to license a claim about optimality. An alternative approach is to treat Bayesian inference as a descriptive tool, in which the Bayesian model need not correspond to any claim that the underlying cognition is optimal or rational. We argue for the latter approach.


Robust credible intervals

As Bayesian methods become more popular in behavioural science, they will inevitably be applied in situations that violate the assumptions underpinning the models typical used to guide statistical inference. With this in mind, it is important to know something about how robust Bayesian methods are to the violation of those assumptions. In this paper we focus on the problem of contaminated data...

Paper Github

Observe or bet

When should people forego immediate rewards and seek out information that might help us make better choices in the future? What strategies should people follow, and how do we learn them? Do people behave differently when the world is changeable? This project explored how people solve this "explore-exploit dilemma" in different environments.

Paper Github Experiments

Running online experiments

In 2015 the Adelaide CompCogSci lab organised a workshop on running online experiments at the EPC conference, covering the mechanics, practicalities and ethical issues associated with this kind of study.