Lucas Lab

We use computational models and psychological experiments to understand human cognition, and build systems that take inspiration from human cognition, with a particular emphasis on the ability to learn and act in new and changing situations.

We are accepting new Ph.D. students – see how to contact us.



Aug 7, 2023 Bonan Zhao’s “How cognition bootstraps its way to complex concepts” has been accepted for publication at Nature Human Behaviour.
Jul 5, 2023 Tianwei Gong, Rob McIntosh, and Chris Lucas’s submission to CCN, “Understanding spatial neglect: A Bayesian perspective” has been selected for oral presentation at CCN 2023; it’s one of 24 talks selected out of 530 submissions (4.5%).
Jun 30, 2023 Sigrid Passano Hellan will be presenting Bayesian Optimisation Against Climate Change: Applications and Benchmarks at the ICML Workshop on Data-centric Machine Learning Research, and giving one of three contributed talks at The First Edinburgh Workshop on Affordable Machine Learning.
Jun 23, 2023 Bálint Gyevnár was awarded the UKRI Trustworthy Autonomous Systems Early Career Researcher Award, worth £4,000, under the Knowledge Transfer track, for his work in explainable AI, which combines technical innovations and ideas from cognitive science.
Jun 13, 2023 Tadeg Quillien and Chris Lucas’s paper “Counterfactuals and the logic of causal selection” has been accepted for publication in Psychological Review (preprint).