Peer-reviewed paper applies truth maintenance systems to LLM memory belief revision
letandrewcook · x · 2026-11-09
The author announces an architecture research paper passing peer review after 6 months of work. It formalizes symbolic logic with continuous geometric coupling for dependency-driven belief revision in LLM and agent memory design.
- Core problem: in RAG systems, when source facts mutate or drop, derived conclusions silently rot downstream without a dedicated mechanism to catch it.
- The proposed 4-layer stateful cortex uses Doyle's Truth Maintenance System (TMS) to track logical dependencies, so withdrawing a source fact automatically revokes support and retracts downstream conclusions.
- Gärdenfors' conceptual spaces project persisted interpretations (Claims) with explicit assumptions and stances onto continuous quality axes, distinguishing opposing stances on a topic and reranking by geometric position rather than raw text similarity.
- Targeted at LLM memory/retention in multiplayer environments like teams, think tanks, PE/law firms and NGOs.
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