Task-specific prioritization of reward and effort information: Novel insights from behavior and computational modeling

Research article (Cognitive Affective & Behavioral Neuroscience, 2019) · cited 38× · AI/ML
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Task-specific prioritization of reward and effort information: Novel insights from behavior and computational modeling

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Task-specific prioritization of reward and effort information: Novel insights from behavior and computational modeling is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Task-specific prioritization of reward and effort information: Novel insights from behavior and computational modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/task-specific-prioritization-of-reward-and-effort-information-novel-insights-from-behavior-and-computational-modeling
MLA “Task-specific prioritization of reward and effort information: Novel insights from behavior and computational modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/task-specific-prioritization-of-reward-and-effort-information-novel-insights-from-behavior-and-computational-modeling.
BibTeX @misc{4ortxyz_task-specific-prioritization-of-reward-and-effort-information-novel-insights-from-behavior-and-computational-modeling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Task-specific prioritization of reward and effort information: Novel insights from behavior and computational modeling}}, year = {2026}, url = {https://4ort.xyz/entity/task-specific-prioritization-of-reward-and-effort-information-novel-insights-from-behavior-and-computational-modeling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Task-specific prioritization of reward and effort information: Novel insights from behavior and computational modeling — https://4ort.xyz/entity/task-specific-prioritization-of-reward-and-effort-information-novel-insights-from-behavior-and-computational-modeling (retrieved 2026-05-24)

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