Evaluating the coherence of Take-the-best in structured environments

Heuristic decision-making models, like Take-the-best, rely on environmental regularities. They conduct a limited search, and ignore available information, by assuming there is structure in the decision-making environment. Take-the-best relies on at least two regularities: DIMINISHING RETURNS, which...

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Main Authors: Michael D. Lee, Shunan Zhang
Format: Article
Language:English
Published: Society for Judgment and Decision Making 2012-07-01
Series:Judgment and Decision Making
Subjects:
Online Access:http://journal.sjdm.org/11/111109a/jdm111109a.pdf
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spelling doaj-7285bfd2406a41bd8e5e4bae7321d78f2021-05-02T12:38:34ZengSociety for Judgment and Decision MakingJudgment and Decision Making1930-29752012-07-0174360372Evaluating the coherence of Take-the-best in structured environmentsMichael D. LeeShunan ZhangHeuristic decision-making models, like Take-the-best, rely on environmental regularities. They conduct a limited search, and ignore available information, by assuming there is structure in the decision-making environment. Take-the-best relies on at least two regularities: DIMINISHING RETURNS, which says that information found earlier in search is more important than information found later; and CORRELATED INFORMATION, which says that information found early in search is predictive of information found later. We develop new approaches to determining search orders, and to measuring cue discriminability, that make the reliance of Take-the-best on these regularities clear, and open to manipulation. We then demonstrate, in the well-studied German cities environment, and three new city environments, when and how these regularities support Take-the-best. To do this, we focus not on the accuracy of Take-the-best, as most previous studies have, but on a measure of its coherence as a decision-making process. In particular, we consider whether Take-the-best decisions, based on a single piece of information, can be justified because an exhaustive search for information is unlikely to yield a different decision. Using this measure, we show that when the two environmental regularities are present, the decisions made by limited search are unlikely to have changed after exhaustive search,http://journal.sjdm.org/11/111109a/jdm111109a.pdfTake-the-bestprocess coherenceenvironment structurefast and frugal heuristicsdiminishing returns.NAKeywords
collection DOAJ
language English
format Article
sources DOAJ
author Michael D. Lee
Shunan Zhang
spellingShingle Michael D. Lee
Shunan Zhang
Evaluating the coherence of Take-the-best in structured environments
Judgment and Decision Making
Take-the-best
process coherence
environment structure
fast and frugal heuristics
diminishing returns.NAKeywords
author_facet Michael D. Lee
Shunan Zhang
author_sort Michael D. Lee
title Evaluating the coherence of Take-the-best in structured environments
title_short Evaluating the coherence of Take-the-best in structured environments
title_full Evaluating the coherence of Take-the-best in structured environments
title_fullStr Evaluating the coherence of Take-the-best in structured environments
title_full_unstemmed Evaluating the coherence of Take-the-best in structured environments
title_sort evaluating the coherence of take-the-best in structured environments
publisher Society for Judgment and Decision Making
series Judgment and Decision Making
issn 1930-2975
publishDate 2012-07-01
description Heuristic decision-making models, like Take-the-best, rely on environmental regularities. They conduct a limited search, and ignore available information, by assuming there is structure in the decision-making environment. Take-the-best relies on at least two regularities: DIMINISHING RETURNS, which says that information found earlier in search is more important than information found later; and CORRELATED INFORMATION, which says that information found early in search is predictive of information found later. We develop new approaches to determining search orders, and to measuring cue discriminability, that make the reliance of Take-the-best on these regularities clear, and open to manipulation. We then demonstrate, in the well-studied German cities environment, and three new city environments, when and how these regularities support Take-the-best. To do this, we focus not on the accuracy of Take-the-best, as most previous studies have, but on a measure of its coherence as a decision-making process. In particular, we consider whether Take-the-best decisions, based on a single piece of information, can be justified because an exhaustive search for information is unlikely to yield a different decision. Using this measure, we show that when the two environmental regularities are present, the decisions made by limited search are unlikely to have changed after exhaustive search,
topic Take-the-best
process coherence
environment structure
fast and frugal heuristics
diminishing returns.NAKeywords
url http://journal.sjdm.org/11/111109a/jdm111109a.pdf
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