Accuracy vs. Simplicity: A Complex Trade-Off
Inductive learning aims at finding general rules that hold true in a database. Targeted learning seeks rules for the predictions of the value of a variable based on the values of others, as in the case of linear or non-parametric regression analysis. Non-targeted learning finds regularities without a specific prediction goal. We model the product of non-targeted learning as rules that state that a certain phenomenon never happens, or that certain conditions necessitate another. For all types of rules, there is a trade-off between the rule's accuracy and its simplicity. Thus rule selection can be viewed as a choice problem, among pairs of degree of accuracy and degree of complexity. However, one cannot in general tell what is the feasible set in the accuracy-complexity space. Formally, we show that finding out whether a point belongs to this set is computationally hard. In particular, in the context of linear regression, finding a small set of variables that obtain a certain value of R2 is computationally hard. Computational complexity may explain why a person is not always aware of rules that, if asked, she would find valid. This, in turn, may explain why one can change other people's minds (opinions, beliefs) without providing new information.
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- Dekel, Eddie & Lipman, Barton L. & Rustichini, Aldo, 1998. "Recent developments in modeling unforeseen contingencies," European Economic Review, Elsevier, vol. 42(3-5), pages 523-542, May.
- Itzhak Gilboa & David Schmeidler, 2002.
"Inductive Inference: An Axiomatic Approach,"
Levine's Working Paper Archive
391749000000000544, David K. Levine.
- Gilboa, I. & Schmeidler, D., 1999. "Inductive Inference: an Axiomatic Approach," Papers 29-99, Tel Aviv.
- Gilboa, I. & Schmeidler, D., 2001. "Inductive Inference: An Axiomatic Approach," Papers 2001-19, Tel Aviv.
- Itzhak Gilboa & David Schmeidler, 2001. "Inductive Inference: An Axiomatic Approach," Cowles Foundation Discussion Papers 1339, Cowles Foundation for Research in Economics, Yale University.
- Itzhak Gilboa & David Schmeidler, 2002. "Inductive Inference: An Axiomatic Approach," NajEcon Working Paper Reviews 391749000000000544, www.najecon.org.
- repec:cup:cbooks:9780521802345 is not listed on IDEAS
- Dekel, Eddie & Lipman, Barton L & Rustichini, Aldo, 2001.
"Representing Preferences with a Unique Subjective State Space,"
Econometric Society, vol. 69(4), pages 891-934, July.
- Eddie Dekel, 1997. "A Unique Subjective State Space for Unforeseen Contingencies," Discussion Papers 1202, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Andrei Shleifer & Robert W. Vishny, 1998.
"The Quality of Government,"
Harvard Institute of Economic Research Working Papers
1847, Harvard - Institute of Economic Research.
- Rafael LaPorta & Florencio Lopez-de-Silanes & Andrei Shleifer & Robert Vishny, . "The Quality of Government," Working Paper 19452, Harvard University OpenScholar.
- Rafael La Porta & Florencio Lopez-de-Silanes & Andrei Shleifer & Robert Vishny, 1998. "The Quality of Goverment," NBER Working Papers 6727, National Bureau of Economic Research, Inc.
- Anderlini, Luca & Felli, Leonardo, 1994.
"Incomplete Written Contracts: Undescribable States of Nature,"
The Quarterly Journal of Economics,
MIT Press, vol. 109(4), pages 1085-1124, November.
- Anderlini, L. & Felli, L., 1993. "Incomplete Written Contracts: Undescribable States of Nature," Papers 183, Cambridge - Risk, Information & Quantity Signals.
- Gilboa, I. & Schmeidler, D., 1999.
"Cognitive Foundations of Probability,"
30-99, Tel Aviv.
- Itzhak Gilboa, 1993. "Hempel, Good and Bayes," Discussion Papers 1045, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Kreps, David M, 1979. "A Representation Theorem for "Preference for Flexibility"," Econometrica, Econometric Society, vol. 47(3), pages 565-77, May.
- Aragones, Enriqueta & Gilboa, Itzhak & Postlewaite, Andrew & Schmeidler, David, 2014.
"Rhetoric and analogies,"
Research in Economics,
Elsevier, vol. 68(1), pages 1-10.
- Aragones, E. & Gilboa, I. & Postlewaite, A. & Schmeidler, D., 2001. "Rhetoric and Analogies," Papers 2001-15, Tel Aviv.
- Enriqueta Aragonès & Itzhak Gilboa & Andrew Postlewaite & David Schmeidler, 2013. "Rhetoric and Analogies," Working Papers 706, Barcelona Graduate School of Economics.
- Enriqueta Aragones & Itzhak Gilboa & Andrew Postlewaite & David Schmeidler, 2013. "Rhetoric and Analogies," UFAE and IAE Working Papers 932.13, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
- Enriqueta Aragones & Itzhak Gilboa & Andrew Postlewaite & David Schmeidler, 2013. "Rhetoric and Analogies," PIER Working Paper Archive 13-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- repec:cup:cbooks:9780521003117 is not listed on IDEAS
- Bray, Margaret M & Savin, Nathan E, 1986. "Rational Expectations Equilibria, Learning, and Model Specification," Econometrica, Econometric Society, vol. 54(5), pages 1129-60, September.
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