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.
news
| Aug 7, 2023 | Bonan Zhao’s “How cognition bootstraps its way to complex concepts” has been accepted for publication at Nature Human Behaviour. |
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| 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). |