Human decision-making biases


  1. Adams, B.D.
  2. Rehak, L.
  3. Brown, A.
  4. Hall, C.D.T.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN);Humansystems Inc, Guelph ONT (CAN)
This report stems from a literature review exploring human decision-making biases, decision-making approaches and models, and possible ways to mitigate the biases inherent in human decision-making, with a specific focus on decision-making in military contexts. This report has six chapters. Chapter 1 provides a project background, scope, work items and deliverables. Chapter 2 discusses the method used to conduct the literature search, describes the review process and structure of the report and discusses some limitations of this review. Chapter 3 provides an overview of the most common human decision-making biases. These include a range of biases, including reliance on availability and representativeness heuristics, hindsight bias and anchoring and adjustment biases. Chapter 4 reviews models and approaches associated with the two dominant approaches to decision-making, including analytic or naturalistic perspectives. Chapter 5 reviews research and theory relevant to how human decision-making biases can be best mitigated. Chapter 6 concludes the report by exploring some potential future options for furthering this line of research in order to meet the current goals of the Scientific Authority.

Il y a un résumé en français ici.

Report Number
DRDC-VALCARTIER-CR-2010-097 — Contractor Report
Date of publication
01 Oct 2009
Number of Pages
Electronic Document(PDF)

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