Abstract
This paper presents an empirical investigation of the relation between decision speed and decision quality for a real-world setting of cognitively-demanding decisions in which the timing of decisions is endogenous: professional chess. Move-by-move data provide exceptionally detailed and precise information about decision times and decision quality, based on a comparison of actual decisions to a computational benchmark of best moves constructed using the artificial intelligence of a chess engine. The results reveal that faster decisions are associated with better performance. The findings are consistent with the predictions of procedural decision models like drift-diffusion-models in which decision makers sequentially acquire information about decision alternatives with uncertain valuations.
Dokumententyp: | Paper |
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Keywords: | response times, speed-performance profile, drift-diffusion model, uncertain evaluations |
Fakultät: | Volkswirtschaft > Collaborative Research Center Transregio "Rationality and Competition" |
Themengebiete: | 300 Sozialwissenschaften > 330 Wirtschaft |
JEL Classification: | D01, D09, C07, C08 |
URN: | urn:nbn:de:bvb:19-epub-91038-9 |
Sprache: | Englisch |
Dokumenten ID: | 91038 |
Datum der Veröffentlichung auf Open Access LMU: | 08. Feb. 2022, 06:07 |
Letzte Änderungen: | 08. Feb. 2022, 06:08 |