When history helps prediction
In finite partially observed stochastic processes, when does recursively updated history recover predictive distinctions unavailable in current observation?
An open research program on continuation, representation, reachability and realized history. The first Cycle investigates the testable boundaries of these questions.
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In finite partially observed stochastic processes, when does recursively updated history recover predictive distinctions unavailable in current observation?
When do local continuation and preservation judgments support a global judgment?
Which distinctions are required for continuation claims under copying, branching and merging?
Can targeted restrictions steer horizon-limited decisions away from states with fewer viable future targets?
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