Linear decision rule as aspiration for simple decision heuristics

Research output: Chapter in Book/Report/Conference proceedingChapter

22 Citations (Scopus)

Abstract

Many attempts to understand the success of simple decision heuristics have examined heuristics as an approximation to a linear decision rule. This research has identified three environmental structures that aid heuristics: dominance, cumulative dominance, and noncompensatoriness. Here, we further develop these ideas and examine their empirical relevance in 51 natural environments. We find that all three structures are prevalent, making it possible for some simple rules to reach the accuracy levels of the linear decision rule using less information.
Original languageEnglish
Title of host publicationAdvances in Neural Information Processing Systems 26
Subtitle of host publication27th Annual Conference on Neural Information Processing Systems 2013: Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States
EditorsC. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, K. Q. Weinberger
PublisherCurran Associates, Inc.
Pages2904-2912
Number of pages9
ISBN (Print)978-1-63266-024-4
Publication statusPublished - 2014

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