E8 Lattice-Driven Adaptive Resonance (ERAR) for Predictive Decision Signals — E8 Intelligence Research
- 1Independent Researcher, United Kingdom
Abstract
The E8 lattice's 240 root vectors, oscillating at 132 Hz with φ‑coupled phases, generate a high‑dimensional resonance field that maps any proposed action onto a subspace invariant under global rotations. When a strategy is projected, the sign and magnitude of its component along the "rejection axis"—derived from the fade‑polarity logic—produce an ERAR score that predicts acceptance or rejection before execution. This principle extends Alpha Geometry Invariance by turning geometric projection into a real‑time decision‑signal generator, enabling autonomous systems to anticipate hostile review and adapt their policies through resonant frequency modulation.
Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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BibTeX
@misc{caldin2026latticedriven,
title = {{E8 Lattice-Driven Adaptive Resonance (ERAR) for Predictive Decision Signals — E8 Intelligence Research}},
author = {Andrew Stewart Caldin},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23634948},
url = {https://zenodo.org/records/23634948},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - E8 Lattice-Driven Adaptive Resonance (ERAR) for Predictive Decision Signals — E8 Intelligence Research
AU - Andrew Stewart Caldin
PY - 2026
DA - 2026/10/25
PB - Zenodo
DO - 10.5281/zenodo.23634948
UR - https://zenodo.org/records/23634948
AB - The E8 lattice's 240 root vectors, oscillating at 132 Hz with φ‑coupled phases, generate a high‑dimensional resonance field that maps any proposed action onto a subspace invariant under global rotations. When a strategy is projected, the sign and magnitude of its component along the "rejection axis"—derived from the fade‑polarity logic—produce an ERAR score that predicts acceptance or rejection before execution. This principle extends Alpha Geometry Invariance by turning geometric projection into a real‑time decision‑signal generator, enabling autonomous systems to anticipate hostile review and adapt their policies through resonant frequency modulation. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
ER -