A Dynamic Tradeoff Model of Intertemporal Choice

Junyi Dai, Timothy J. Pleskac, Thorsten Pachur

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The delay discounting perspective, which assumes an alternative-wise processing of attribute information, has long dominated research on intertemporal choice. Recent studies, however, have suggested that intertemporal choice is based on attribute-wise comparison. This line of research culminated in the tradeoff model (Scholten & Read, 2010; Scholten, Read, & Sanborn, 2014), which can accommodate most established behavioral regularities in intertemporal choice. One drawback of the tradeoff model, however, is that it is static, providing no account of the dynamic process leading to a choice. Here we develop a dynamic tradeoff model that can qualitatively account for empirical findings in intertemporal choice regarding not only choices but also response times. The dynamic model also outperforms the original, static tradeoff model when quantitatively fitting choices from representative data sets, and even outperforms the best-performing dynamic model derived from Decision Field Theory in Dai and Busemeyer (2014) when fitting both choices and response times.

Original languageEnglish
Title of host publicationCogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society
Subtitle of host publicationComputational Foundations of Cognition
PublisherThe Cognitive Science Society
Pages265-270
Number of pages6
ISBN (Electronic)9780991196760
StatePublished - 2017
Externally publishedYes
Event39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017 - London, United Kingdom
Duration: 26 Jul 201729 Jul 2017

Publication series

NameCogSci 2017 - Proceedings of the 39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition

Conference

Conference39th Annual Meeting of the Cognitive Science Society: Computational Foundations of Cognition, CogSci 2017
Country/TerritoryUnited Kingdom
CityLondon
Period26/07/1729/07/17

Keywords

  • dynamic models, random utility, discrimination threshold
  • intertemporal choice
  • tradeoff model

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