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Learning What to Want: Context-Sensitive Preference Learning

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  • Nisheeth Srivastava
  • Paul Schrater

Abstract

We have developed a method for learning relative preferences from histories of choices made, without requiring an intermediate utility computation. Our method infers preferences that are rational in a psychological sense, where agent choices result from Bayesian inference of what to do from observable inputs. We further characterize conditions on choice histories wherein it is appropriate for modelers to describe relative preferences using ordinal utilities, and illustrate the importance of the influence of choice history by explaining all major categories of context effects using them. Our proposal clarifies the relationship between economic and psychological definitions of rationality and rationalizes several behaviors heretofore judged irrational by behavioral economists.

Suggested Citation

  • Nisheeth Srivastava & Paul Schrater, 2015. "Learning What to Want: Context-Sensitive Preference Learning," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-21, October.
    • Handle: RePEc:plo:pone00:0141129
    DOI: 10.1371/journal.pone.0141129
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    1. Itzhak Gilboa & David Schmeidler, 1995. "Case-Based Decision Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 605-639.
    2. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
    3. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    4. Gilboa, Itzhak & Schmeidler, David & Wakker, Peter P., 2002. "Utility in Case-Based Decision Theory," Journal of Economic Theory, Elsevier, vol. 105(2), pages 483-502, August.
    5. Matthew Rabin, 1998. "Psychology and Economics," Journal of Economic Literature, American Economic Association, vol. 36(1), pages 11-46, March.
    6. Amartya Sen, 1997. "Maximization and the Act of Choice," Econometrica, Econometric Society, vol. 65(4), pages 745-780, July.
    7. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    8. Emir Kamenica, 2008. "Contextual Inference in Markets: On the Informational Content of Product Lines," American Economic Review, American Economic Association, vol. 98(5), pages 2127-2149, December.
    9. Dickhaut, John & Smith, Vernon & Xin, Baohua & Rustichini, Aldo, 2013. "Human economic choice as costly information processing," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 206-221.
    10. Moore, Don A., 1999. "Order Effects in Preference Judgments: Evidence for Context Dependence in the Generation of Preferences, ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 78(2), pages 146-165, May.
    11. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. "Constructive Consumer Choice Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 187-217, December.
    12. Waiyan Leong & David Alan Hensher, 2012. "Embedding Decision Heuristics in Discrete Choice Models: A Review," Transport Reviews, Taylor & Francis Journals, vol. 32(3), pages 313-331, February.
    13. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
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