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.
|Title of host publication||Advances in Neural Information Processing Systems 26|
|Subtitle of host publication||27th Annual Conference on Neural Information Processing Systems 2013: Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States|
|Editors||C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, K. Q. Weinberger|
|Publisher||Curran Associates, Inc.|
|Number of pages||9|
|Publication status||Published - 2014|
Şimşek, Ö. (2014). 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 26 : 27th Annual Conference on Neural Information Processing Systems 2013: Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States (pp. 2904-2912). Curran Associates, Inc..