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Thorsten Pachur
Max Planck Society
123Publications
24H-index
1,792Citations
Publications 123
Newest
#1Nathalie F. Popovic (University of Konstanz)H-Index: 1
#2Thorsten Pachur (MPG: Max Planck Society)H-Index: 24
Last.Wolfgang Gaissmaier (University of Konstanz)H-Index: 23
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1 CitationsSource
2 CitationsSource
#1Tomás Lejarraga (MPG: Max Planck Society)H-Index: 8
#2Michael Schulte-Mecklenbeck (University of Bern)H-Index: 12
Last.Ralph Hertwig (MPG: Max Planck Society)H-Index: 46
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Abstract Loss aversion is often assumed to be a basic and far-reaching psychological regularity in behavior. Yet empirical evidence is accumulating to challenge the assumption of widespread loss aversion in choice. We suggest that a key reason for the apparently elusive nature of loss aversion may be that its manifestation in choice is state-dependent and distinct from a more state-independent principle of heightened attention to losses relative to gains. Using data from process-tracing studies,...
Source
#1Cvetomir Dimov (CMU: Carnegie Mellon University)H-Index: 2
#2Patrick H. KhaderH-Index: 16
Last.Thorsten Pachur (MPG: Max Planck Society)H-Index: 24
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Higher cognitive functions are the product of a dynamic interplay of perceptual, mnemonic, and other cognitive processes. Modeling the interplay of these processes and generating predictions about both behavioral and neural data can be achieved with cognitive architectures. However, such architectures are still used relatively rarely, likely because working with them comes with high entry-level barriers. To lower these barriers, we provide a methodological primer for modeling higher cognitive fu...
1 CitationsSource
#1Junyi Dai (ZJU: Zhejiang University)H-Index: 4
#2Thorsten Pachur (MPG: Max Planck Society)H-Index: 24
Last.Ralph Hertwig (MPG: Max Planck Society)H-Index: 46
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Uncertainty about the waiting time before obtaining an outcome is integral to intertemporal choice. Here, we showed that people express different time preferences depending on how they learn about ...
Source
#1Christina Leuker (MPG: Max Planck Society)H-Index: 2
#2Thorsten Pachur (MPG: Max Planck Society)H-Index: 24
Last.Timothy J. Pleskac (MPG: Max Planck Society)H-Index: 17
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Source
#1Christina Leuker (MPG: Max Planck Society)H-Index: 2
#2Thorsten Pachur (MPG: Max Planck Society)H-Index: 24
Last.Timothy J. Pleskac (MPG: Max Planck Society)H-Index: 17
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The high rewards people desire are often unlikely. Here, we investigated whether decision-makers exploit such ecological correlations between risks and rewards to simplify their information processing. In a learning phase, participants were exposed to options in which risks and rewards were negatively correlated, positively correlated, or uncorrelated. In a subsequent risky choice task, where the emphasis was on making either a ‘fast’ or the ‘best’ possible choice, participants’ eye movements we...
1 CitationsSource
#1Christina Leuker (MPG: Max Planck Society)H-Index: 2
#2Thorsten Pachur (MPG: Max Planck Society)H-Index: 24
Last.Timothy J. Pleskac (KU: University of Kansas)H-Index: 17
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1 CitationsSource
#1Yonatan VanunuH-Index: 2
#2Thorsten Pachur (MPG: Max Planck Society)H-Index: 24
Last.Marius UsherH-Index: 36
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4 CitationsSource
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