Linear decision rule as aspiration for simple decision heuristics (2013)
Authors
Abstract
Several attempts to understand the success of simple decision heuristics have ex- amined heuristics as an approximation to a linear decision rule. This research has identified three environmental structures that aid heuristics: dominance, cumula- tive dominance, and noncompensatoriness. Here we develop these ideas further and examine their empirical relevance in 51 natural environments. We find that all three structures are prevalent, making it possible for simple rules to reach (and exceed) the accuracy of the linear decision rule.
Bibliographic entry
Simsek, Ö. (2013). Linear decision rule as aspiration for simple decision heuristics. In C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, & K. Q. Weinberger (Eds.), Advances in neural information processing systems: Vol. 26: 27th Annual Conference on Neural Information Processing Systems 2013 [Online version] (pp. 2904-2912). Red Hook, NY: Curran Associates. Retrieved from http://papers.nips.cc/paper/4888-linear-decision-rule-as-aspiration-for-simple-decision-heuristics.pdf.(Printed version: Curran Associates, 2014, Vol. 4, pp. 2928-2936, ISBN 978-1-63266-024-4) (Full text)
Miscellaneous
| Publication year | 2013 | |
|---|---|---|
| Document type: | In book | |
| Publication status: | Published | |
| External URL: | http://papers.nips.cc/paper/4888-linear-decision-rule-as-aspiration-for-simple-decision-heuristics.pdf View | |
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