A simulator is a world model which can generate rollouts. A simulator embodies the "laws of physics" or transition dynamics for a virtual reality (which may underdetermine rollouts, such as in the case of a probabilistic model). Entities that appear in simulations at runtime are called simulacra. By the progenesis principle, a predictive model dually serves as a simulator of the predicted distribution, and self-supervised learning is a natural (in the sense of "innocent" / ecologically feasible) way to create a simulator.
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β Core Architecture Diagram: β
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β β ββββββββββββββββ β β
β β β World State β β β
β β β ββββββββββββ β βββββββββββββββ β β
β β β ββββββββββββββββββββββΆβProbabilisticβ β β
β β β ββββββββββββ β Sampler β β β
β β β ββββββββββββ βββββββββββββββ β β
β β β² β² β β
β β β β β β
β β βββββββββ΄ββββββββ ββββββββ΄βββββββ β β
β β β Physics Engineβ β Random Seed β β β
β β βββββββββ¬ββββββββ βββββββββββββββ β β
β β β β β
β β βββββββββ΄ββββββββ β β
β β β Simulacra β β β
β β β β β β β β β
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β Progenesis Training Loop: β
β ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β
β β βββββββββββ ββββββββββββ ββββββββββββββββ β β
β β β Reality βββββΆβPredictiveβββββΆβ Simulator β β β
β β β Sample β β Model β β Distribution β β β
β β βββββββββββ ββββββββββββ ββββββββ¬ββββββββ β β
β β β² β β β
β β βββββββββββββββββββββββββββββββββββ β β
β ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ β
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β Rollout Generation Process: β
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β β tβ tβ tβ tβ tβ tβ
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β β βΌ βΌ βΌ βΌ βΌ βΌ βΌ βΌ βΌ β β
β β [Sβ]ββ[Sβ]ββ[Sβ]ββ[Sβ]ββ[Sβ]ββ[Sβ
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β β Det. Det. Det. Det. Prob. Prob. Prob. Prob. Prob. β β
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β Legend: β
β β: Deterministic State β: Probabilistic State β
β β: Known State β: Predicted State β
β β: State Transition β³: Training Loop β
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β [Technical Details] [Run Simulation] [Export Architecture] β
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