Framework establishes probability spaces for comparing inference models in observer scenarios, suggesting clearer insights.
We consider models for inference made by observers which may have multiple copies, such as occur in some multiverse theories. A toy model in this field is the Sleeping Beauty (SB) problem. We establish a framework for describing these problems on a probability space satisfying Kolmogorov’s axioms. This enables the main competing approaches to be compared precisely.
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M. T. Barlow (2026) studied this question.
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