Jump to ContentJump to Main Navigation
HeuristicsThe Foundations of Adaptive Behavior$
Users without a subscription are not able to see the full content.

Gerd Gigerenzer, Ralph Hertwig, and Thorsten Pachur

Print publication date: 2011

Print ISBN-13: 9780199744282

Published to Oxford Scholarship Online: May 2011

DOI: 10.1093/acprof:oso/9780199744282.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 21 November 2019

Naive and yet Enlightened: From Natural Frequencies to Fast and Frugal Decision Trees

Naive and yet Enlightened: From Natural Frequencies to Fast and Frugal Decision Trees

Chapter:
(p.136) Chapter 6 Naive and yet Enlightened: From Natural Frequencies to Fast and Frugal Decision Trees
Source:
Heuristics
Author(s):

Laura Martignon

Oliver Vitouch

Masanori Takezawa

Malcolm R. Forster

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199744282.003.0006

The trees for classification and for decision that are introduced in this chapter are naïve, fast, and frugal. Why they are “naïve,” that is, why they ignore conditional dependencies between cues, is extensively illustrated. Why they are “frugal,” in the sense that they tend to use much fewer cues than those provided by the environment, is also explained in detail. The trees' “fastness” appears as a consequence of their frugality. The main property of these trees is that they implement one-reason classification/decision in analogy with heuristics for one-reason decision making. The lexicographic nature of these trees is shown with the help of a characterization theorem. As will also become clear, fast-and-frugal trees generalize take-the-best.

Keywords:   classification trees, decision making, heuristics, take-the-best

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .