activity
20122019
most citedCognitive Model Priors for Predicting Human Decisions

35 citations · 89 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2019

The Computational Structure of Unintentional Meaning

Mark K. Ho, Joanna Korman, Thomas L. Griffiths

Speech-acts can have literal meaning as well as pragmatic meaning, but these both involve consequences typically intended by a speaker. Speech-acts can also have unintentional mean…

cs.LG201935 cited

Cognitive Model Priors for Predicting Human Decisions

David D. Bourgin, Joshua C. Peterson, Daniel Reichman +2

Human decision-making underlies all economic behavior. For the past four decades, human decision-making under uncertainty has continued to be explained by theoretical models based…

cs.CY20196 cited

Using Machine Learning to Guide Cognitive Modeling: A Case Study in Moral Reasoning

Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths

Large-scale behavioral datasets enable researchers to use complex machine learning algorithms to better predict human behavior, yet this increased predictive power does not always…

cs.CV201630 cited

Adapting Deep Network Features to Capture Psychological Representations

Joshua C. Peterson, Joshua T. Abbott, Thomas L. Griffiths

Deep neural networks have become increasingly successful at solving classic perception problems such as object recognition, semantic segmentation, and scene understanding, often re…

cs.LG201218 cited

The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for Latent Features

Kurt T. Miller, Thomas Griffiths, Michael I. Jordan

Nonparametric Bayesian models are often based on the assumption that the objects being modeled are exchangeable. While appropriate in some applications (e.g., bag-of-words models f…