Interactive browser demo showing how reference concentration can dominate mean activation in a reaction–diffusion-style crowd model. Two identical systems with the same mean activation diverge when reference structure differs.

Foundational architectural papers for the Spanda Engine: constraint-grounded dimensional inference, stratified time-scaled memory, and reference-shift multi-agent dynamics. Defines non-omniscient, bounded-adaptation AI systems with measurable stability criteria and simulation-ready formalisms.