My research focuses on the psychological processes that underlie human learning, reasoning and decision-making. A major theme is the central role played by causal models in cognition. I investigate how people learn causal models from uncertain data, and how they use these models to draw inferences and make decisions. I have extended this work to the area of juror decision-making, showing that people use their causal knowledge to organize legal evidence and make decisions. I am currently developing a general framework for evidential and legal reasoning, and studying the dynamics of jurors’ beliefs across the course of a trial. Another key theme in my research is the interplay between causal thinking and judgments of responsibility. I examine how people use causal models to attribute responsibility and blame, both with normal and patient populations.
On the web
- Causality, the critical but often ignored component guiding us through a world of uncertainties in risk assessment Journal of Risk Research DOI: 10.1080/13669877.2019.1604564
- Causation without realism. J Exp Psychol Gen DOI: 10.1037/xge0000602
- Modelling competing legal arguments using Bayesian model comparison and averaging Artificial Intelligence and Law DOI: 10.1007/s10506-019-09250-3
- View all publications by David Lagnado