Thorsten Pachur

dblp:08/10397 · DBLP profile ↗
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17ranked-venue papers
1as first author
4since 2021 · last 2024
0000-0001-6391-4107ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 17 · 1 first-author · 4 since 2021Artificial intelligence and machine learning · 16 · 1 first-author · 3 since 2021
YearPublicationVenuePosition
2024 Older adults select different but not simpler strategies than younger adults in risky choice
abstract
Younger and older adults often differ in their risky choices. Theoretical frameworks on human aging point to various cognitive and motivational factors that might underlie these differences. Using a novel computational model based on the framework of resource rationality, we find that the two age groups rely on different strategies. Importantly, older adults did not use simpler strategies than younger adults, they did not select among fewer strategies, they did not make more errors, and they did not put more weight on cognitive costs. Instead, older adults selected strategies that had different risk propensities than those selected by younger adults. Our modeling approach suggests that age differences in risky choice are not necessarily a consequence of cognitive decline; instead, they may reflect motivational differences between age groups.
Florian Bolenz, Thorsten Pachur
PLoS Comput. Biol.2
2022 Exploring the Structure of Predecisional Information Search in Risky Choice
Florian Bolenz, Thorsten Pachur
CogSci2
2022 An Affective Probability Weighting Function for Risky Choice with Nonmonetary Outcomes
Kamil Fulawka, Thorsten Pachur
CogSci2
2022 Does Social Sampling Differ Between Online and Offline Contacts? A Computational Modeling Analysis
Marlene Hecht, Thorsten Pachur, Christin Schulze
CogSci2
2020 Nonlinear Probability Weighting Can Reflect Attentional Biases in Sequential Sampling
Veronika Zilker, Thorsten Pachur
CogSci2
2019 What's in the Adaptive Toolbox and How Do People Choose From It? Rational Models of Strategy Selection in Risky Choice
Florian Mohnert, Thorsten Pachur, Falk Lieder
CogSci2
2019 Extending Rationality
Emmanuel M. Pothos, Jerome R. Busemeyer, Timothy J. Pleskac, James M. Yearsley, Josh Tenenbaum, Noah D. Goodman, Michael Henry Tessler, Thomas L. Griffiths 0001, Falk Lieder, Ralph Hertwig, Thorsten Pachur, Christina Leuker, Richard M. Shiffrin
CogSci11
2018 Identifying the structure of hypotheses that guide search during development
Douglas Markant, Angela Jones, Thorsten Pachur, Alison Gopnik, Azzurra Ruggeri
CogSci3
2017 A Dynamic Tradeoff Model of Intertemporal Choice
Junyi Dai, Timothy J. Pleskac, Thorsten Pachur
CogSci3
2017 How the Mind Exploits Risk-Reward Structures in Decisions under Risk
Christina Leuker, Timothy J. Pleskac, Thorsten Pachur, Ralph Hertwig
CogSci3
2017 How Does Instance-Based Inference About Event Frequencies Develop? An Analysis with a Computational Process Model
Christin Schulze, Thorsten Pachur, Ralph Hertwig
CogSci2
2015 Modeling choice and search in decisions from experience: A sequential sampling approach
Douglas Markant, Timothy J. Pleskac, Adele Diederich, Thorsten Pachur, Ralph Hertwig
CogSci4
2013 Measuring the Use of Recognition with the Multinomial r-Model: An Application to Aging and Individual Differences
Sebastian Horn, Thorsten Pachur, Rui Mata
CogSci2
2013 Modeling Gain-Loss Asymmetries in Risky Choice: The Critical Role of Probability Weighting
Thorsten Pachur, David Kellen
CogSci1
2013 Hierarchical Bayesian Modeling: Does it Improve Parameter Stability?
Benjamin Scheibehenne, Thorsten Pachur
CogSci2
2013 How Does Prospect Theory Reflect Heuristics' Probability Sensitivity in Risky Choice?
Renata Suter, Thorsten Pachur, Ralph Hertwig
CogSci2
2011 Searching Our Cognitive Social Networks: How We Remember Who We Know
Thomas T. Hills, Thorsten Pachur
CogSci2