Linear decision rule as aspiration for simple decision heuristics

Özgür Şimşek

Linear decision rule as aspiration for simple decision heuristics

Department of Computer Science

Max Planck Institute for Human Development

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

44 Citations (SciVal)

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 language	English
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.
Pages	2904-2912
Number of pages	9
ISBN (Print)	978-1-63266-024-4
Publication status	Published - 1 Jan 2014

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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.. http://papers.nips.cc/paper/4888-linear-decision-rule-as-aspiration-for-simple-decision-heuristics

Linear decision rule as aspiration for simple decision heuristics. / Şimşek, Özgür.
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. ed. / C. J. C. Burges; L. Bottou; M. Welling; Z. Ghahramani; K. Q. Weinberger. Curran Associates, Inc., 2014. p. 2904-2912.

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Şimşek, Ö 2014, Linear decision rule as aspiration for simple decision heuristics. in CJC Burges, L Bottou, M Welling, Z Ghahramani & KQ 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. Curran Associates, Inc., pp. 2904-2912. <http://papers.nips.cc/paper/4888-linear-decision-rule-as-aspiration-for-simple-decision-heuristics>

Şimşek Ö. Linear decision rule as aspiration for simple decision heuristics. In Burges CJC, Bottou L, Welling M, Ghahramani Z, Weinberger KQ, editors, 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. Curran Associates, Inc. 2014. p. 2904-2912 Epub 2013.

Şimşek, Özgür. / Linear decision rule as aspiration for simple decision heuristics. 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. editor / C. J. C. Burges ; L. Bottou ; M. Welling ; Z. Ghahramani ; K. Q. Weinberger. Curran Associates, Inc., 2014. pp. 2904-2912

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Linear decision rule as aspiration for simple decision heuristics

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