Skip to content
master
Switch branches/tags
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 

README.md

Data and material for the experiments and the modeling reported in Rothe, Deverett, Mayrhofer, & Kemp (in press). Successful structure learning from observational data. [preprint]


data_by_subject.csv contains the causal structures that participants inferred in Experiments 1 to 5.

Columns:

  • exp_paper Experiment number, same ordering as reported in the paper
  • subject Participant ID (note, subject 1 in Experiment 1 is not the same participant as subject 1 in Experiment 2, etc.)
  • block Block number, same ordering as reported in the paper
  • repetition Either 1 or 2 (only relevant for Experiment 1, where each block was shown two times)
  • graph ID of the causal structure drawn by the participant (for all 64 causal structures and their IDs, see graphs_overview.pdf shown below or the identical Figure C1 in the Appendix)

data_model.csv contains the aggregated responses from participants and the model predictions

Columns:

  • exp_paper
  • block
  • graph In this csv file, for each block in each experiment, graph ranges from 1 to 64
  • subject_rel The percentage of participants that drew this graph in this block (i.e., sums to 1 within each block)
  • BSL ... LSL Model predictions = model posteriors over graphs (i.e., each posterior sums to 1 within each block)

instructions_outline.pdf outlines the instructions for Experiment 1 (the footnote "Original" was not shown in the experiment). The instructions for Experiments 2 to 5 were built upon these core instructions (see Table A.1 in the Appendix for an overview and descriptions in the main text for details).


graphs_overview.pdf

Context 1-18

About

No description, website, or topics provided.

Resources

Releases

No releases published

Packages

No packages published