Youne Strittmatter

Cognitive Science @Princeton. Interested in automated science and experimental design. Co-author on the new preprint below 👇

[Youne Strittmatter @strittmatteryo]

Made an account just for this! Working on this was so much fun.

[Akshay K. Jagadish @akjagadish]

1/ 🚨 New preprint: "Closing the Loop to Discover Psychological Theories with an Automated Cognitive Scientist"

Co-led w/ Younes Strittmatter
Co-mentored by @suyoghc and @cocosci_lab
In collaboration w/ @kachergis, @norijacoby, @nathanieldaw, & @cpilab

Introducing AutoCog — a fully autonomous AI system that runs the entire scientific discovery cycle in cognitive science to surface novel theories of human behavior 🧵

#CognitiveScience #AI4Science #LLMs

[Akshay K. Jagadish @akjagadish]

Delighted to be presenting two posters today at @cogsci_soc!

Title: Scaling up computational cognitive modeling with LLMs
Poster number: P2-C-14
Time: 10.00 AM

Generating computational cognitive models for learning and decision making w/ @milenamr7, @marvinmathony, Tobias Ludwig, @cpilab
https://t.co/EFgMH6pmVX

Incorporating think aloud into cognitive modeling w/ @PsychBoyH @NRDlab
https://t.co/hyHK9dOmju

Modeling individual differences in learning and decision making w/ @milenamr7 @marvinmathony @cpilab

Discovering representations underlying similarity judgments w/ Daniel Braga @RajaMarjieh @norijacoby @sucholutsky @LakeBrenden and @cocosci_lab

Closing the loop between experimental design and computational modeling w/ @strittmatteryo @suyoghc @norijacoby @nathanieldaw @cpilab and @cocosci_lab
https://t.co/dg1XpImlbE

[Akshay K. Jagadish @akjagadish]

[2] Title: Pipeline for Systematic Curation of human experiments w/ @strittmatteryo Lan Pan @LanceYing42 @marcel_binz @MITCoCoSci @cocosci_lab
Poster number: P3-A-7
Time: 5.30 pm

We introduce, PSYCHE, an agentic pipeline to scrape and standardize openly available psychology datasets.

Using PSYCHE, we have now curated the largest living repository of standardized human behavior:
650+experiments
360k+ participants
40M+ human choices

In terms of pure size:
4x Psych 101
2x Psych 201

Plus:
All the meta-data available in the source paper.

More to come, come talk to us :)

[至善Jason @huzhishan]

AutoCog — a fully autonomous AI system that runs the entire scientific discovery cycle in cognitive science to surface novel theories of human behavior

[Helmholtz Institute for Human-Centered AI @cpilab]

Very excited about this. One of the first steps to truly automate the discovery process in the cognitive sciences.

[Griffiths Computational Cognitive Science Lab @cocosci_lab]

New preprint explores how using AI to discover psychological theories and propose experiments to test them can create an automated cognitive scientist