debugging biological networks to reach coherence, completeness and consistency
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Updated
Feb 18, 2024 - Common Lisp
debugging biological networks to reach coherence, completeness and consistency
Haskell and Scala translations of Truth Maintenance Systems and other tools from Forbus and de Kleer's Building Problem Solvers.
A logic-based Truth Maintenance System (LTMS) and pattern-directed reasoning engine in pure Python, after Forbus & de Kleer's Building Problem Solvers. Docs: https://pisanuw.github.io/ltms/
Towards a Modern Truth-Maintenance System and Inference Engine
Verified knowledge for AI agents. Compress context, extract and store facts, define rules, and ask questions — get deterministic answers with proof, not LLM guesses. Connect agents via MCP, Python SDK, TypeSc
An negation assumption based truth maintenance system (NATMS)
An R&D Neurosymbolic Reasoning Graph structured as a reactive working memory for LLM & reasoning by recursively abstracts sub-graphs, so large problems are solved in bounded local context and kept coherent by truth-maintenance.
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