Intelligence has to act before the future is fully observed. Catching a moving object, continuing a plan after interruption, and adapting when a familiar task changes all require more than classifying the present. A system must preserve a future-oriented state, estimate where events are going, compare incoming evidence with that estimate, and revise without either forgetting its objective or becoming rigid. This paper defines a prospective state as a structured combination of persistent context, fast working state, a trajectory estimate, candidate policies, and mismatch. It then develops a bounded physical hypothesis. Spatial and temporal phase gradients provide measurable direction and propagation variables. Relative phase differences between a projected relation and an observed relation can provide a receiver-specific mismatch signal. Recurrent phase-dependent routing may support rapid revision, while slower structural change can preserve repeatedly useful trajectories. The paper calls the receiver-relative change a Phase Wave Differential only after defining the operation it names. It also recovers four linked ideas from the source history: counterfactual phase configurations, a multi-timescale context stack, contractive mismatch dissipation, and reset amplification. These are connected to established work on predictive coding, active inference, traveling waves, communication through coherence, replay-based planning, fast weights, test-time adaptation, and biological signal amplification. The result is not a universal law of cognition. It is an experimentally discriminable research program whose phase variables must outperform rate, recurrent-state, attention, replay, movement-preparation, and non-phase prediction-error baselines.
Micah Blumberg (Wed,) studied this question.
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