Cognitive Model Priors for Predicting Human Decisions | AISC

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=Dj3F4h5KBio


Duration: 56:03
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18

Speaker(s): David Bourgin
Facilitator(s): Jiri Stodulka

Find the recording, slides, and more info at https://ai.science/e/beast-in-deep-learning-cognitive-model-priors-for-predicting-human-decisions--FtkAXjI9YqZ2wzfLbrMJ

Motivation / Abstract
The work elaborates on previous attempts to outperform cognitive models developed by social scientists by ML algorithms. The authors use the BEAST model to create a synthetic dataset and internalize its weight in a neural network. Unlike previous attempts, the model can work only on raw data without exhaustive feature engineering and achieve unseen performance.

What was discussed?
- What is the BEAST model
- synthetic dataset for human choice decisions: advantages and disadvantages
- application of cognitive model priors in ML products
- Graph NN for predicting human decisions

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