Causal Cognitions Lab
Casual Reasoning Research
How do people use causal models of the world to support inference and decision-making? We investigate the role of causal thinking in human cognition and how people construct causal models from uncertain data. We show how people have an amazing capacity for flexible causal inference, but also how they adopt simplifying strategies to cope with complexity.
Challenging the halo effect: how nuanced are trait-trait inferences?
Project Team Nine Adler (University College London), Stephen Dewitt (University College London), Prof. David Lagnado (University College London)
This research looks at the underlying reasoning behind common heuristics and biases (in this case, the halo effect). Distancing ourselves from the standard experimental designs in this field (which expect a single normative answer), we use rich scenarios and mixed methods designs to capture sophisticated and nuanced reasoning.