Fast-and-frugal heuristics: analytical models of intuition
Fast-and-frugal heuristics: analytical models of intuition
Trust your gut. Do not rely on urges—analyze! Decisions are either logical or psychological… Such popular maxims reveal a complicated, even confused approach to how one should make decisions. The sciences of decision theory and practice suggest that managers should leverage the power of mathematics, whilst also reserving a role for personal insights. But how exactly can that be achieved? Combining analysis and intuition sounds like trying to have one’s cake and eat it too; enticing but impossible. We believe that it is indeed possible to combine analysis and intuition to make decisions. And that doing so in a systematic way is now within reach. A slow yet powerful series of discoveries has culminated in a vision of decision making that brings ever closer together mathematics, psychology and management in the form of analytical models of intuition. The concept that enables these advances is fast-and-frugal heuristics. The present piece (i) provides a background for fast-and-frugal heuristics; (ii) introduces their basics, outlining conditions under which fast-and-frugal heuristics perform well or not; (iii) challenges established beliefs and clears common misconceptions related to fast-and-frugal heuristics; (iv) outlines principles of smart (heuristics-based) management; and (v) surveys open questions to explore how the potential of fast-and-frugal heuristics for management mathematics can be fully realized.
Katsikopoulos, Konstantinos V.
b97c23d9-8b24-4225-8da4-be7ac2a14fba
Gigerenzer, Gerd
95655620-31f2-44ef-bdd6-ddbc5f175b08
12 November 2025
Katsikopoulos, Konstantinos V.
b97c23d9-8b24-4225-8da4-be7ac2a14fba
Gigerenzer, Gerd
95655620-31f2-44ef-bdd6-ddbc5f175b08
Katsikopoulos, Konstantinos V. and Gigerenzer, Gerd
(2025)
Fast-and-frugal heuristics: analytical models of intuition.
IMA Journal of Management Mathematics, [dpaf041].
(doi:10.1093/imaman/dpaf041).
Abstract
Trust your gut. Do not rely on urges—analyze! Decisions are either logical or psychological… Such popular maxims reveal a complicated, even confused approach to how one should make decisions. The sciences of decision theory and practice suggest that managers should leverage the power of mathematics, whilst also reserving a role for personal insights. But how exactly can that be achieved? Combining analysis and intuition sounds like trying to have one’s cake and eat it too; enticing but impossible. We believe that it is indeed possible to combine analysis and intuition to make decisions. And that doing so in a systematic way is now within reach. A slow yet powerful series of discoveries has culminated in a vision of decision making that brings ever closer together mathematics, psychology and management in the form of analytical models of intuition. The concept that enables these advances is fast-and-frugal heuristics. The present piece (i) provides a background for fast-and-frugal heuristics; (ii) introduces their basics, outlining conditions under which fast-and-frugal heuristics perform well or not; (iii) challenges established beliefs and clears common misconceptions related to fast-and-frugal heuristics; (iv) outlines principles of smart (heuristics-based) management; and (v) surveys open questions to explore how the potential of fast-and-frugal heuristics for management mathematics can be fully realized.
Text
I-Ma-Man_KKGG
- Accepted Manuscript
Restricted to Repository staff only until 21 October 2026.
Request a copy
More information
Accepted/In Press date: 13 October 2025
e-pub ahead of print date: 21 October 2025
Published date: 12 November 2025
Identifiers
Local EPrints ID: 506850
URI: http://eprints.soton.ac.uk/id/eprint/506850
ISSN: 1471-678X
PURE UUID: 97749227-1505-482e-892a-a219c952bcd8
Catalogue record
Date deposited: 19 Nov 2025 17:32
Last modified: 20 Nov 2025 02:49
Export record
Altmetrics
Contributors
Author:
Gerd Gigerenzer
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics