Matrix Model Generator for Implicative Connectives
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2026-01-27 11:14:31 -05:00
examples Added another example 2024-10-15 10:30:14 -04:00
utils Skip model sizes 2-5 and 7 when conjunction, disjunction, and negation are defined 2025-12-12 11:36:21 -05:00
.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 Added an initial model finder via Z3 2025-11-25 17:22:59 -05:00
logic.py Enumerate over all models 2025-12-12 18:17:47 -05:00
model.py Merge branch 'main' into feat/46 2026-01-27 11:14:31 -05:00
parse_magic.py Check VSP for non-MaGICal models via SMT 2026-01-12 16:55:37 -05:00
R.py Fixed misusage of Model constructor 2025-05-26 17:35:05 -04:00
README.md Updated interface 2024-11-05 13:19:44 -05:00
smt.py Added logic_has_vsp which uses the SMTLogicEncoder 2026-01-15 15:03:18 -05:00
vsp.py Merge branch 'main' into feat/46 2026-01-27 11:14:31 -05:00
vspursuer.py Skip model sizes 2-5 and 7 when conjunction, disjunction, and negation are defined 2025-12-12 11:36:21 -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.