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Decision theory mapped across entangled dimensions

This post delves into the complex landscape of decision theory, proposing a framework that disentangles at least three core questions: what assumptions to make when considering an action, how to score a gamble once outcomes are known, and how choices made before and after receiving information should relate. The author maps various existing and theoretical decision theories onto this grid, suggesting that these axes are not entirely independent and that studying their structure could lead to a comprehensive understanding of all coherent decision theories. The post is technical, intended for self-education and research, with extensive footnotes and an appendix for further details. AI

RANK_REASON The item is a technical research post exploring theoretical concepts in decision theory, not a release of a new model or product. [lever_c_demoted from research: ic=1 ai=0.1]

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Decision theory mapped across entangled dimensions

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The item is a technical research post exploring theoretical concepts in decision theory, not a release of a new model or product. [lever_c_demoted from research: ic=1 ai=0.1]
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  1. LessWrong (AI tag) TIER_1 English(EN) · Ihor Kendiukhov ·

    The Entangled Dimensions of Decision Theory

    <p><strong>TL;DR.</strong> LessWrong's decision-theory debates (Newcomb, FDT vs CDT, counterfactual muggings) are almost entirely about <em>what we suppose when we consider a candidate action or policy</em>. There is a second, older, semi-orthogonal, but not fully orthogonal ques…