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   "The world head predicts ten next-moment consequences (the displacement dx and dy, the four passages, the object and colour in the cell, the carried object, the outcome) and the reward. The imagined position composes from the predicted displacement, so one regularity (an open passage moves the agent by one cell) covers every cell; absolute next-position heads learned the base rate per column instead (0.45 accuracy on the rarer open edges after 10,000 steps).",
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   "Decisions are supplied A* search over cells through the learned model's imagined consequences toward a remembered or exploration target (at most 128 expansions): the model supplies the consequence of each action, the witnessed map supplies the passages of a known next cell, the model's own prediction those of an unvisited one. A request, a name request and the cue decision start a new episode of the same life from a distant cell (the junction for the cue): the wander is closed as truncated, the stores persist across the boundary, the context trace does not. The cue decision is the plan's two-choice diagnostic (north or west), chosen by one-step reward greed over the model's reward prediction.",
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   "The action's neurons are driven at 4.0 and the here_object and carrying fields at twice the input gain: readings that differ in the action, the object here or what is carried then share fewer active cells, so the consequence records written under one goal or door rule interfere less with the others (held-out consequence accuracy of a frozen copy after the whole curriculum 0.972 and 0.978 on two development seeds against 0.945 and 0.949 without)."
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