Posts by Collection

portfolio

publications

Inferring epistemic intention in simulated physical microworlds

Published in Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

We explore whether people can recognise the epistemic goal or intention of active learners interacting with simulated physical objects.

Recommended citation: Stephanie Droop & Neil R. Bramley. (2022). "Inferring epistemic intention in simulated physical microworlds." Proceedings of the 44th Annual Meeting of the Cognitive Science Society.

Extending counterfactual reasoning models to capture unconstrained social explanations

Published in ICML (International Conference on Machine Learning) Workshop on Counterfactuals in Minds and Machines, Honolulu 2023, 2023

We extend a counterfactual account of explanation to capture how people generate free explanations for someone’s behaviour across a set of scenarios.

Recommended citation: Stephanie Droop & Neil R. Bramley. (2023). "Extending counterfactual reasoning models to capture unconstrained social explanations." Proceedings of ICML (International Conference on Machine Learning) Workshop on Counterfactuals in Minds and Machines, Honolulu 2023.

Selective imitation on the basis of reward function similarity

Published in Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

We explore the hypothesis that decisions about who to learn from involve inferences about other agents’ reward functions.

Recommended citation: Max Taylor-Davies, Stephanie Droop & Christopher G. Lucas. (2023). "Selective imitation on the basis of reward function similarity." Proceedings of the 45th Annual Meeting of the Cognitive Science Society.

Inverting the Turing test to track changing intuitions about artificial minds

Published in Arxiv (for now), 2024

We found people systematically overestimate the use of personal questions in a Turing test. However, people are sensitive to brusque, cynical tone, slang and perceived idiosyncrasy as cues to natural human output.

Recommended citation: Stephanie Droop, Cansu Oranc, Neil R. Bramley, Azzurra Ruggeri. (2024). "Inverting the Turing test to track changing intuitions about artificial minds." Arxiv, pending publication .

talks

Cogsci 2022

Published:

This was my first conference talk. You can see a recording here. I was overjoyed it was mid-morning on the first day, when everyone was enthusiastic and wide-awake. The room was packed but long and narrow, so not the most conducive to engagement. I got their interest by running up the aisle before I started and waving hi, “to see who I’m talking to”. People liked that and put away their phones. Afterwards, I got a lot of questions from respected bigwigs in the field who noted the lack of models and were all itching to suggest their own approaches.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.