Naturalistic heuristics for decision making (2010)
Abstract
Over the last 20 years, both naturalistic decision making and fast and frugal heuristics programs have radically broken with mainstream decision science, moving beyond the confines of artificial tasks and safe academic laboratories. We document commonalities of these programs and discuss ways in which a synthesis could con- tribute to a more relevant, precise, predictive, and effective decision science. We begin by reviewing the common roots and philosophies of the two programs, such as their respect for the capable decision maker and their acknowledgment of the importance of task ecology. We then identify four specific areas of synergetic potential, including ecological rationality and metacognition. Our review culminates in a case study of naturalistic heuristics based on a particular class of fast and frugal heuristics. These fast and frugal trees provide examples of effective, well-specified decision-making algo- rithms applied in a naturalistic domain: emergency medical diagnosis. By leveraging the strengths of each program, we point out some of the ways in which more sustain- able progress can be fostered on issues that matter the most—for example, decisions that save and transform lives.
Bibliographic entry
Keller, N., Cokely, E. T., Katsikopoulos, K. V., & Wegwarth, O. (2010). Naturalistic heuristics for decision making. Journal of Cognitive Engineering and Decision Making, 4, 256-274. doi:10.1518/155534310X12844000801168 (Full text)
Miscellaneous
| Publication year | 2010 | |
|---|---|---|
| Document type: | Article | |
| Publication status: | Published | |
| External URL: | http://dx.doi.org/10.1518/155534310X12844000801168 View | |
| Categories: | Ecological RationalityFast-and-frugal treesHealth | |
| Keywords: |