A quantification of robustness |
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Authors: | Matthew M. Walsh Evan H. Einstein Kevin A. Gluck |
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Affiliation: | 1. Air Force Research Laboratory, Wright-Patterson Air Force Base, OH, United States;2. Program in Cognitive Science, Vassar College, NY, United States |
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Abstract: | Robustness is an important construct in domains as diverse as evolutionary biology, structural engineering, and decision-making. Unfortunately, in many domains, most relevantly cognitive science, considerations of robustness end with vague semantic references. Little attention is paid to formal analysis. The aim of this paper is to initiate a discussion in the scientific community regarding methods for quantifying and analyzing robustness. To this end, we propose a means for assessing robustness that may supplant the current ambiguous use of the term. We demonstrate our quantitative approach using examples of heuristic-based decision processes, selected due to their explicit association with robustness in the psychological literature. These examples serve to illustrate basic properties of our general methodology for quantifying robustness. |
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Keywords: | Robustness Decision-making Cognitive systems Quantification |
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