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Parole Board Decision-Making using Adversarial Risk Analysis

Author

Listed:
  • Chaitanya Joshi
  • Charné Nel
  • Javier Cano
  • Devon L.L. Polaschek

Abstract

Adversarial Risk Analysis (ARA) allows for much more realistic modeling of game theoretical decision problems than Bayesian game theory. While ARA solutions for various applications have been discussed in the literature, we have not encountered a manuscript that assesses ARA in a real-life case study involving actual decision-makers. In this study, we present an ARA solution for the Parole Board decision problem. To elicit the Parole Board’s probabilities and utilities regarding the convict’s choices and resulting consequences, as well as their own subjective beliefs about such probabilities and utilities, we conducted a detailed interview with two current members of the New Zealand Parole Board, using a realistic case report. Subsequently, we derived the optimal ARA decision for different scenarios. This study highlights the advantages and challenges of the ARA methodology for real-life decision-making in the presence of an adversary.

Suggested Citation

  • Chaitanya Joshi & Charné Nel & Javier Cano & Devon L.L. Polaschek, 2024. "Parole Board Decision-Making using Adversarial Risk Analysis," The American Statistician, Taylor & Francis Journals, vol. 78(3), pages 345-358, July.
    • Handle: RePEc:taf:amstat:v:78:y:2024:i:3:p:345-358
    DOI: 10.1080/00031305.2024.2303416
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