TLMM v6.2: Anticipatory Meta-Viability Systems

TLMM v6.2 presents an exploratory framework for anticipatory meta-viability systems integrating topology-aware monitoring, recursive adaptation, collective intelligence, anticipatory topology repair, and hierarchical coordination mechanisms. The framework combines: Predictive Viability Horizons (PVH) sparse topology-aware monitoring topology-preserving imputation topological diode mechanisms contractive meta-learning Collective Intelligence Gain (CIG) hierarchical anticipatory coordination meta-viability landscapes recursive anticipatory intelligence systems The proposed architecture aims to provide a conceptual foundation for future anticipatory resilience systems operating under uncertainty, nonstationarity, and multi-scale complexity. This repository includes: Full PDF manuscript Illustrative Python demo script Reproducibility-oriented README Important Disclaimer: All figures, simulations, and quantitative indicators are exploratory, illustrative, synthetic, and hypothesis-generating.They should not be interpreted as validated clinical, engineering, operational, or deployment-ready outcomes. Author:Koji OkinoSD Lab LLCIndependent ResearcherORCID: 0009-0003-9273-9813