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index.qmd
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index.qmd
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---
title: "Simulating Attention and Performance tasks with an LLM"
author:
- name: Matthew J. C. Crump
orcid: 0000-0002-5612-0090
email: mcrump@brooklyn.cuny.edu
affiliations:
- name: Brooklyn College of CUNY
abstract: "A computational modeling project examining whether or not a GPT model can simulate human performance in classic attention and performance tasks."
date: 6-27-2023
title-block-style: default
---
## Project Information
The purpose of this project is to assess capabilities of LLMs, such as OpenAI's GPT models, to simulate behavioral data from classic attention and performance tasks in cognitive psychology, like the Stroop task.
Status:
- In progress
- Exploratory
## Repository Information
This is a website for a cognitive psychology research project. The aim of this website is to create and share reproducible research assets throughout the project lifespan. This repository is built with [quarto](https://quarto.org). Source code is available from the github repository for this project.
## Dependencies:
List of R packages used.
```{r}
# get packages and print version in tibble
dependencies <- renv::dependencies()
unique_dependencies <- unique(dependencies$Package)
dependency_tibble <- sapply(unique_dependencies,
FUN = function(x) as.character(packageVersion(x))) |>
tibble::enframe()
knitr::kable(dependency_tibble)
```