Reasoned Decision Making Without Math? Adaptability and Robustness in Response to Surprise
Identifieur interne : 000795 ( Pmc/Curation ); précédent : 000794; suivant : 000796Reasoned Decision Making Without Math? Adaptability and Robustness in Response to Surprise
Auteurs : Michael Smithson ; Yakov Ben-HaimSource :
- Risk Analysis [ 0272-4332 ] ; 2015.
Abstract
Many real‐world planning and decision problems are far too uncertain, too variable, and too complicated to support realistic mathematical models. Nonetheless, we explain the usefulness, in these situations, of qualitative insights from mathematical decision theory. We demonstrate the integration of info‐gap robustness in decision problems in which surprise and ignorance are predominant and where personal and collective psychological factors are critical. We present practical guidelines for employing adaptable‐choice strategies as a proxy for robustness against uncertainty. These guidelines include being prepared for more surprises than we intuitively expect, retaining sufficiently many options to avoid premature closure and conflicts among preferences, and prioritizing outcomes that are steerable, whose consequences are observable, and that do not entail sunk costs, resource depletion, or high transition costs. We illustrate these concepts and guidelines with the example of the medical management of the 2003 SARS outbreak in Vietnam.
Url:
DOI: 10.1111/risa.12397
PubMed: NONE
PubMed Central: 7169093
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<named-content content-type="organisation-division">Department of Psychology</named-content>
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<named-content content-type="organisation-division">Yitzhak Moda'i Chair in Technology and Economics, Technion—</named-content>
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<author-notes><corresp id="correspondenceTo"><label>*</label>
Address correspondence to Yakov Ben‐Haim, Yitzhak Moda'i Chair in Technology and Economics, Technion—Israel Institute of Technology, Haifa 32000, Israel; <email>yakov@technion.ac.il</email>
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<fpage>1911</fpage>
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<permissions><pmc-comment> © 2015 Society for Risk Analysis </pmc-comment>
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