memory

Changing your mind about the data: Updating sampling assumptions in inductive inference

When people use samples of evidence to make inferences, they consider both the sample contents and how the sample was generated (“sampling assumptions”). The current studies examined whether people can update their sampling assumptions – whether they …

What do our sampling assumptions affect: How we encode data or how we reason from it?

People need to know how data were generated when they encode it; they can't revise it later if their assumptions were wrong

Exploring the role that encoding and retrieval play in sampling effects

A growing body of literature suggests that making different sampling assumptions about how data are generated can lead to qualitatively different patterns of inference based on that data. However, relatively little is known about how sampling …

When do memory limitations lead to regularization? An experimental and computational investigation

Uses a combination of modelling and experiments to show that memory limitations at encoding cannot lead to regularisation.

Memory limitations alone do not lead to over-regularization: An experimental and computational investigation

Adult language learners under cognitive load do not over-regularize like children