Entity-Component-Model Architecture for Simulation Systems
A modular architecture for state clarity, deterministic updates, and scale.
PublishedField Notes
Short essays on deterministic execution, scenario design, and operational analysis.
These notes treat simulation as an analytical system, not only a visualization layer. The focus is practical: repeatable runs, explicit assumptions, and scenario definitions that can be reviewed over time.
Each entry starts from one question: what must be true before a simulation result can support a decision?
A modular architecture for state clarity, deterministic updates, and scale.
PublishedWhere game-engine strengths end and simulation-engine requirements begin.
PublishedChoosing fidelity levels by decision purpose, not by visual realism.
PublishedTraceable outputs turn simulation results into reviewable evidence.
PublishedHow to combine AI speed with deterministic guarantees in simulation workflows.
PublishedDesigning scenario structures that survive review, comparison, and reuse.
PublishedWhy simulation platforms must prioritize decision quality over visual output.
PublishedA practical architecture blueprint for deterministic simulation systems.
PublishedWhy repeatable execution matters for trustworthy simulation.
Published