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原文連結
論文資訊
- 類型：已發表論文
- 日期：2022-11-30
摘要
The DARPA Ground Truth project sought to evaluate 社會 science by constructing four varied simulated 社會 worlds with hidden causality and unleashed teams of scientists to collect data, discover their causal structure, predict their future, and prescribe policies to create desired outcomes. This large-scale, long-term experiment of in silico 社會 science, about which the ground truth of simulated worlds was known, but not by us, reveals the limits of contemporary quantitative 社會 science methodology. First, problem solving without a shared ontology-in which many world characteristics remain existentially uncertain-poses strong limits to quantitative analysis even when scientists share a common task, and suggests how they could become insurmountable without it. Second, data labels biased the assoc
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