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Newcomb's Problem Analysis Recommends Taking Two Boxes in Concrete Scenarios

By PulseAugur Editorial · [1 sources] ·

A new paper analyzes Newcomb's problem, a classic philosophical thought experiment involving a predictor and a decision-maker. The author argues that in a concrete, realistically implementable version of the problem, where the predictor has substantial but imperfect accuracy, the decision-maker should choose to take two boxes. However, if the predictor uses a fantastic method to simulate the decision-maker's thoughts, then taking one box is recommended. AI

RANK_REASON The cluster contains a link to a research paper analyzing a philosophical problem. [lever_c_demoted from research: ic=1 ai=0.1]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Newcomb's Problem Analysis Recommends Taking Two Boxes in Concrete Scenarios

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The cluster contains a link to a research paper analyzing a philosophical problem. [lever_c_demoted from research: ic=1 ai=0.1]
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  1. LessWrong (AI tag) TIER_1 English(EN) · Radford Neal ·

    When to Take One Box, When to Take Two: A Concrete Analysis of Newcomb's Problem

    <p><span>This is a link post for my paper on </span><a href="https://glizen.com/radfordneal/newcomb.abstract.html" rel="noreferrer"><span>When to Take One Box, When to Take Two: A Concrete Analysis of Newcomb's Problem</span></a><span> (also on </span><a href="https://arxiv.org/a…

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