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Catastrophe, Compounding & Consistency in Choice

arXiv 2111.06804 ↗First posted 12 Nov 2021cs.AIcited by 0

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Abstract (arXiv)

Conditional value-at-risk (CVaR) precisely characterizes the influence that rare, catastrophic events can exert over decisions. Such characterizations are important for both normal decision-making and for psychiatric conditions such as anxiety disorders -- especially for sequences of decisions that might ultimately lead to disaster. CVaR, like other well-founded risk measures, compounds in complex ways over such sequences -- and we recently formalized three structurally different forms in which risk either averages out or multiplies. Unfortunately, existing cognitive tasks fail to discriminate these approaches well; here, we provide examples that highlight their unique characteristics, and make formal links to temporal discounting for the two of the approaches that are time consistent. These examples can ground future experiments with the broader aim of characterizing risk attitudes, especially for longer horizon problems and in psychopathological populations.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 10 references that are in the map. First posted on arXiv 12 Nov 2021.

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2 of 10 references.

References · 2

  1. 2018Implicit Quantile Networks for Distributional Reinforcement Learningcited by 369
  2. 2015Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approachcited by 170

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