Attribute-wise vs. alternative-wise mechanism in intertemporal choice: Testing the proportional difference, trade-off, and hyperbolic models.

Cheng, Jiuqing; González‐Vallejo, Claudia

doi:10.1037/dec0000046

Cited by 27 publications

(44 citation statements)

References 55 publications

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“…Though such decisions are inherently multi-attributive (time and value of the available options have to be weighted against each other), they have been modeled using models that accumulate a single evidence measure for the options available, be it simple sequential sampling models (Dai and Busemeyer 2014;Dai et al 2018;Zhao et al 2019) for the decision process within a trial, or more complex attractor models (Scherbaum et al 2016;Senftleben et al 2019b) for the decision process within and across trials. However, one might question, whether this simplification is valid (Amasino et al 2019;Cheng and González-Vallejo 2016;Dai et al 2018), especially when modeling complex decision patterns across trials with attractor models. Here, we test the validity of this assumption for the predictions from an attractor model.…”

Section: Introductionmentioning

confidence: 99%

From high- to one-dimensional dynamics of decision making: testing simplifications in attractor models

Schoemann

Scherbaum

2020

Cogn Process

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Computational models introduce simplifications that need to be understood and validated. For attractor models of decision making, the main simplification is the high-level representation of different sub-processes of the complex decision system in one dynamic description of the overall process dynamics. This simplification implies that the overall process dynamics of the decision system are independent from specific values handled in different sub-processes. Here, we test the validity of this simplification empirically by investigating choice perseveration in a nonverbal, value-based decision task. Specifically, we tested whether choice perseveration occurred irrespectively of the attribute dimension as suggested by a simulation of the computational model. We find evidence supporting the validity of the simplification. We conclude that the simplification might capture mechanistic aspects of decision-making processes, and that the summation of the overall process dynamics of decision systems into one single variable is a valid approach in computational modeling. Supplement materials such as empirical data, analysis scripts, and the computational model are publicly available at the Open Science Framework (osf. io/7fb5q).

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Section: Introductionmentioning

confidence: 99%

From high- to one-dimensional dynamics of decision making: testing simplifications in attractor models

Schoemann

Scherbaum

2020

Cogn Process

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“…Intertemporal choice tasks. The intertemporal choice task employed in the present study was similar to those reported in some previous studies (Cheng & González-Vallejo, 2016;Scholten et al, 2014). The current study employed two conditions of intertemporal choice tasks with hypothetical gains and payments.…”

Section: Materials and Proceduresmentioning

confidence: 89%

“…The present study aims to test the validity of CRT-2 by examining its correlation with intertemporal choice. To address the reliability issue, we employed an intertemporal choice task that was recently employed in other studies (Cheng & González-Vallejo, 2016;Dai & Busemeyer, 2014;Scholten, Read, & Sanborn, 2014). In this task, participants make repeated choices between a sooner, smaller reinforcer and a later, larger reinforcer.…”

Section: Overview Of the Present Studymentioning

confidence: 99%

The Relationship Between an Alternative Form of Cognitive Reflection Test and Intertemporal Choice

Cheng

Janssen²

2019

Self Cite

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The cognitive reflection test (CRT) has been popular because it has demonstrated a good predictive validity of a variety of biases in judgment and decision making. Thomson and Oppenheimer (2016) further developed a second version of the cognitive reflection test, CRT-2. Although CRT-2 has been found to be associated with several biases in judgment and decision making, its relationship with intertemporal choice remains unclear. Previous studies have shown that intertemporal choice characterizes the competition between intuition and reflection, and can be predicted by the original CRT. To further validate CRT-2, the present study tests the relationship between CRT-2 and intertemporal choice. The study finds that better performance on CRT-2 is significantly associated with fewer impulsive intertemporal choices in both gain and payment conditions. Moreover, impulsive choices are related to intuitive errors but not nonintuitive errors generated from CRT-2. The study suggests that CRT-2 provides some more items for researchers to select to cha racterize individual differences in think ing style and judgment and decision making.

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“…The model we adopted assumed a trade-off mechanism between features of rewards and time delays in forming the representation of choice alternatives [19]. Previous studies have shown that such attribute-wise models could mimic various delay discounting curves in terms of subjective valuation [15] and that these models explain choice probabilities and response times as well or better than hyperbolic discounting models do [20][21][22]. Depending on specific experimental designs, attribute-wise models can provide more information on temporal dynamics when different attributes were presented sequentially (as in the current experimental design).…”

Section: Behavioral Modelingmentioning

confidence: 99%

Frontoparietal dynamics and value accumulation in intertemporal choice

Liu

Rodriguez³

et al. 2020

Preprint

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Intertemporal choice requires choosing between a smaller reward available after a shorter time delay and a larger reward available after a longer time delay. Previous studies suggest that intertemporal preferences are formed by generating a subjective value of the monetary rewards that depends on reward amount and the associated time delay. Neuroimaging results indicate that this subjective value is tracked by ventral medial prefrontal cortex (vmPFC) and ventral striatum. Subsequently, an accumulation process, subserved by a network including dorsal medial frontal cortex (dmFC), dorsal lateral prefrontal cortex (dlPFC) and posterior parietal cortex (pPC), selects a choice based on the subjective values. The mechanisms of how value accumulation interacts with subjective valuation to make a choice, and how brain regions communicate during decision making are undetermined. We developed and performed an EEG experiment that parametrically manipulated the probability of preferring delayed larger rewards. A computational model equipped with time and reward information transformation, selective attention, and stochastic value accumulation mechanisms was constructed and fit to choice and response time data using a hierarchical Bayesian approach.Phase-based functional connectivity between putative dmFC and pPC was found to be associated with stimulus processing and to resemble the reconstructed accumulation dynamics from the best performing computational model across experimental conditions. By combining computational modeling and phase-based functional connectivity, our results suggest an association between value accumulation, choice competition, and frontoparietal connectivity in intertemporal choice.Author summaryIntertemporal choice is a prominent experimental assay for impulsivity. Behavior in the task involves several cognitive functions including valuation, action selection and self-control. It is unknown how these different functions are temporally implemented during the course of decision making. In the current study, we combined formal computational models of intertemporal choice with a phase-based EEG measure of activity across brain regions to show that functional connectivity between dmFC and pPC reflects cognitive mechanisms of both visual stimulus processing and choice value accumulation. The result supports the notion that dynamic interaction between frontopatietal regions instantiates the critical value accumulation process in intertemporal choice.

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Attribute-wise vs. alternative-wise mechanism in intertemporal choice: Testing the proportional difference, trade-off, and hyperbolic models.

Cited by 27 publications

References 55 publications

From high- to one-dimensional dynamics of decision making: testing simplifications in attractor models

From high- to one-dimensional dynamics of decision making: testing simplifications in attractor models

The Relationship Between an Alternative Form of Cognitive Reflection Test and Intertemporal Choice

Frontoparietal dynamics and value accumulation in intertemporal choice

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