Matrix Model Generator for Implicative Connectives
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examples Added another example 2024-10-15 10:30:14 -04:00
.gitignore Initial commit 2024-04-08 23:59:21 -04:00
common.py Check models in parallel 2024-11-26 16:24:49 -05:00
generate_model.py Pretty printing 2024-05-29 13:50:20 -04:00
logic.py Check models in parallel 2024-11-26 16:24:49 -05:00
model.py Check models in parallel 2024-11-26 16:24:49 -05:00
parse_magic.py Removed a from model value names 2024-11-26 15:52:20 -05:00
R.py Pretty printing 2024-05-29 13:50:20 -04:00
README.md Updated interface 2024-11-05 13:19:44 -05:00
vsp.py Correctly find the top and bottom of the order lattice 2024-11-15 15:38:20 -05:00
vspursuer.py Check models in parallel 2024-11-26 16:24:49 -05:00

VSPursuer: Verify Relevance Properties for Matrix Models with Implicative Connectives

Interested in seeing which satisfiable models from arranstewart/magic have the variable sharing property?

(1) Generate satisfiable matrix models using MaGIC.

  • Use the ugly data format as the output

(2) Run our tool! It will first attempt to parse all the matrices in the output file and then check for the variable sharing property one-by-one.

./vspursuer.py -i examples/R6

If you face any troubles, feel free to reach out. This tool also is able to generate satisfiable models given a specification (see: R.py). This is, however, much slower than MaGIC so you're better off using that.

Check out the GitHub issue tracker to see upcoming features or make your own requests.