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World models
SPATIAL
A world model is an AI system's learned internal simulation of an environment — its structure, objects and dynamics — that allows it to predict outcomes and plan rather than merely react. In ATH, world models are the substrate for neuro-symbolic, spatially-grounded reasoning over the built environment (COSMOS provides exactly this kind of neurosymbolic grounding for compositional world models), enabling the engine to anticipate how a specific building will weather and colonise over time and to drive predictive stewardship.
spatial AI, path-dependent propagation
A world model is an AI system's learned internal simulation of an environment — its structure, objects and dynamics — that allows it to predict outcomes and plan rather than merely react. In ATH, world models are the substrate for neuro-symbolic, spatially-grounded reasoning over the built environment (COSMOS provides exactly this kind of neurosymbolic grounding for compositional world models), enabling the engine to anticipate how a specific building will weather and colonise over time and to drive predictive stewardship.
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