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IndisputableMonolith.Decision.SleepingBeauty

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The SleepingBeauty module formalizes the Sleeping Beauty paradox inside Recognition Science decision theory by defining halfer credence as 1/2 and thirder credence as 1/3. It introduces eventCount and awakeningCount measures together with sigmaCostPerEvent and jCostPerExperience to test consistency. The module consists of direct definitions plus one-line equality lemmas that verify each credence under its matching cost model.

claimThe module defines halfer credence $1/2$ and thirder credence $1/3$, with event-based cost per coin flip and $J$-cost per awakening, proving consistency of the halfer position under event cost and the thirder position under experience cost.

background

This module belongs to the Decision domain and imports the RS time quantum from Constants together with the cost functions from Cost. The J-cost is the recognition cost $J(x) = (x + x^{-1})/2 - 1$. The Sleeping Beauty setup is modeled via eventCount for the coin toss and awakeningCount for observer experiences, yielding the two standard answers of 1/2 and 1/3.

proof idea

This is a definition module that introduces the two credences and their supporting cost functions; the equalities such as halfer_eq_per_event and thirder_eq_per_experience are one-line wrappers that substitute the counts into the respective cost definitions.

why it matters in Recognition Science

The module supplies the decision-theoretic treatment of Sleeping Beauty inside the Recognition Science framework, showing how each standard answer aligns with a distinct cost measure. It connects the halfer position to event-based costs and the thirder position to experience-based J-costs, providing concrete instances of cost-based decision evaluation.

scope and limits

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