Heuristics

Tools for an Uncertain World

Datos Bibliográficos

ID23636623
AutoresHansjörg Neth (0000-0001-5427-3141, Max Planck Society), Gerd Gigerenzer (0000-0002-6163-5419, Max Planck Society)
Año2015
Páginas1-18
Fecha de publicación2015-05-15
Peer ReviewedSí
Open AccessSí
TipoOTHER
RevistaEmerging Trends in the Social and Behavioral Sciences (JOURNAL)
EditorialWiley (PUBLISHER • GB)
DOI10.1002/9781118900772.etrds0394
OpenAlexW1494574844
ISBN9781118900772
IdiomaEN
Citas recibidas11
Referencias citadas45

We distinguish between situations of risk , where all options, consequences, and probabilities are known, and situations of uncertainty , where they are not. Probability theory and statistics are the best tools for deciding under risk but not under uncertainty, which characterizes most relevant problems that humans have to solve. Uncertainty requires simple heuristics that are robust rather than optimal. We propose to think of the mind as an adaptive toolbox and introduce the descriptive study of heuristics, their building blocks, and the core capacities they exploit. The question of which heuristic to select for which class of problems is the topic of the normative study of ecological rationality . We discuss earlier views on the nature of heuristics that maintained that heuristics are always less accurate because they ignore information and demand less effort. Contrary to this accuracy–effort trade‐off view, heuristics can lead to more accurate inferences—under uncertainty—than strategies that use more information and computation. The study of heuristics opens up a new perspective on the nature of both cognition and rationality. In a world of uncertainty, Homo sapiens might well be called Homo heuristicus .

Class (philosophy) · Data science · Epistemology · Exploit · Heuristic · Heuristics · Machine learning · Normative · Rationality · Representativeness heuristic · Social heuristics · Toolbox · Artificial Intelligence · Child and Animal Learning Development · Computer Science · Decision-Making and Behavioral Economics · Mathematics · Philosophy and History of Science