Field-Theoretic Memory Systems for AI Agents
Memory systems modeled as continuous fields enabling smooth interpolation, natural decay, and principled attention over long contexts.
Papers
Preprints and technical disclosures.
2026
Verity: Verified Synthesis via Confidence-Error-Effort-Progress
Framework for verified code generation using four measurable signals that predict correctness without ground truth.
Red Queen: Evolutionary Adversarial Testing for Trust Systems
Genetic algorithms for generating adversarial test cases that co-evolve with defensive systems.
Trust Cascade: Formal Theory of ROI-Based Decision Routing
Mathematical framework proving convergence and optimality of multi-tier trust decision cascades.
Technical Disclosures
Defensive publications via TD Commons. CC BY 4.0.
Automated Pattern Learning System (APLS)
Rule generation from cascade failures for cost migration.
ROI-Based Cascade Routing
Predictive cost-benefit analysis for escalation decisions.
Adaptive Multi-Agent Debate Framework (ARTEMIS)
Tiered reasoning with structured argumentation.
Field-Theoretic Context System (FTCS)
Continuous field representation for context management.
Universal Pattern Inference and Replication (UPIR)
Automated distributed system synthesis (274x speedup).
Efficient Transformation Layer Caching (ETLC)
Context-first data processing architecture.