Team
By researchers, for researchers.
Author
Umberto Barbieri
PhD Student
Design, implementation, testing, documentation, and infrastructure for the full library, CLI, and MCP server.
Contact
Questions, feedback, or collaboration welcome. Reach out by email or open an issue on GitHub.
About the project
knowledgespaces provides a complete, open-source implementation of Knowledge Space Theory for the Python ecosystem. It covers structure derivation, parameter estimation, and adaptive assessment in a single, tested package.
Theoretical foundations
Built on the mathematical framework established by Doignon and Falmagne.
- Doignon & Falmagne (1999). Knowledge Spaces. Springer.
- Falmagne & Doignon (2011). Learning Spaces. Springer.