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pyPL

A naive model generator, model checker and theorem prover
for some combinations of classical and intuitionistic, non-modal and modal, propositional and first-order logic, analytic tableau and sequent calculus.

This software can compute

  • the denotation (truth value) of a given logical expression in a given structure,
  • a tableau or sequent deduction tree with associated minimal (counter) models for a given inference or set of sentences.

pyPL GUI -- start pyPL GUI -- input pyPL GUI -- output

Usage notes

Try it out

You can try the model checking feature out here.
For full functionality, install pyPL on your own computer.

Install and run

  1. Install dependencies:
    • core functionality: Python (version >= 3.9) + Python packages: os, re
    • for graphical interface: Tk
    • for nicely formatted output: LaTeX with pdflatex + LaTeX packages: geometry, array, forest, amssymb, amsmath, amstext, wasysym, mathtools
  2. Download this repository.
  3. Execute pyPL/gui.py.

Specify input and view output

Documentation on how to enter formulas, structures and input files can be found in pyPL/doc/parser.md.
Some sample input files are available in pyPL/input.
Generated output files are stored in pyPL/output.

Troubleshooting

Information on the functionality of some of the buttons and options are shown as tooltips on mouse hover.
For troubleshooting information, see pyPL/doc/troubleshooting.md.
If that doesn't help, please open a GitHub issue or e-mail me.

Theory

Some background on the theory underlying the implementation can be found in pyPL/doc/paper.pdf.

Features

Modes

  • theorem proving: generate an analytic tableau or sequent tree to show that a formula or inference is valid/invalid
  • (counter) model generation: generate a minimal structure in which a given (set of) formulas is true/false
  • model checking: evaluation of expressions relative to structures, variable assignments and possible worlds
  • truth table generation

Logics

  • propositional logic
  • first-order logic with zero-place predicates, function symbols and term equality (for function symbols, only model checking)
  • intensional logic with operators □, ◇, ^, ⱽ; propositional, constant and varying domains; frame K
  • intuitionistic logic with Kripke semantics (for first-order logic, only model checking)

Deduction systems

  • analytic tableaux
  • sequent calculus (classical logic only)

Interface

  • input of formulas and structures with ordinary keyboard characters, directly or from a file
  • output in plain text or LaTeX-generated PDF

Restrictions

  • model checking works only on structures with finite domains
  • model generation and theorem proving works only on formulas of relatively small size due to performance limitations

Known issues

  • tableau algorithm relatively inefficient
  • GUI and parser can be glitchy (window not scrollable, buttons sometimes not behaving as expected, parser not always recognizing bracketing correctly)
  • global variables are bad

Wish list

  • useful feedback on incorrectly entered input rather than no parser response
  • more efficient proof search and model generation
  • in model checking, print out detailed derivation rather than just final result of evaluation
  • broader coverage:
    • lambda calculus and e-t type theory
    • more frames for modal logic; temporal logic; first-oder and modal logic for intuitionistic logic; three-valued logic
    • tableaus with free variables
    • other frameworks and calculi, e.g. DRT, ND

Disclaimer

  • This implementation is an experimental proof-of-concept. It is not efficient or designed for real-life applications.
  • Although the software has been extensively tested, I do not guarantee soundness. Use at your own risk.

Small Print

© 2021-2024 Natalie Clarius <natalie_clarius@yahoo.de> nclarius.github.io

This work is licensed under the GNU General Public License v3.0.
This program comes with absolutely no warranty.
This is free software, and you are welcome to redistribute and/or modify it under certain conditions.

I am glad to receive comments, bug reports and improvement suggestions via GitHub issues or e-mail to natalie.clarius@student.uni-tuebingen.de.