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View article: PyVRP/VRPLIB: v2.1.0
PyVRP/VRPLIB: v2.1.0 Open
What's Changed Handle colons in section name by @leonlan in https://github.com/PyVRP/VRPLIB/pull/133
View article: Selective distractor representations resolve multidimensional interference
Selective distractor representations resolve multidimensional interference Open
How can humans manage multiple sources of information competing for attention? To approach this question, we adopted a multi-dimensional task-set interference paradigm that requires individuals to handle distractions from three independent…
View article: Switching Between Cognitive Control States? No, Thank You.
Switching Between Cognitive Control States? No, Thank You. Open
Cognitive control enables adaptive behavior by flexibly adjusting information processing to meet changing environmental demands. While extensive research has examined the costs of switching between different tasks, a fundamental question r…
View article: Corrigendum to “Reward processing and prediction errors in frontal and basal ganglia signals during decision making” [Brain Stimul 18 (1) (2025) 234]
Corrigendum to “Reward processing and prediction errors in frontal and basal ganglia signals during decision making” [Brain Stimul 18 (1) (2025) 234] Open
View article: Do People Think Fast or Slow When Training AI?
Do People Think Fast or Slow When Training AI? Open
View article: Free recall is shaped by inference and scaffolded by event structure
Free recall is shaped by inference and scaffolded by event structure Open
Though everyday life is continuous, people understand and remember experiences as discrete events separated by boundaries. Event boundaries influence the temporal structure of memory, and have been proposed to enhance encoding of boundary-…
View article: Switching Between Cognitive Control States? No, Thank You.
Switching Between Cognitive Control States? No, Thank You. Open
Cognitive control enables adaptive behavior by flexibly adjusting information processing to meet changing environmental demands. While extensive research has examined the costs of switching between different tasks, a fundamental question r…
View article: Impaired arbitration between reward-related decision-making strategies in Alcohol Users compared to Alcohol Non-Users: a computational modeling study
Impaired arbitration between reward-related decision-making strategies in Alcohol Users compared to Alcohol Non-Users: a computational modeling study Open
View article: Reward processing and prediction errors in frontal and basal ganglia signals during decision making
Reward processing and prediction errors in frontal and basal ganglia signals during decision making Open
View article: Choosing the right frame: how context preferences facilitate subsequent decisions
Choosing the right frame: how context preferences facilitate subsequent decisions Open
View article: The consequences of AI training on human decision-making
The consequences of AI training on human decision-making Open
AI is now an integral part of everyday decision-making, assisting us in both routine and high-stakes choices. These AI models often learn from human behavior, assuming this training data is unbiased. However, we report five studies that sh…
View article: Free recall is shaped by inference and scaffolded by event structure
Free recall is shaped by inference and scaffolded by event structure Open
Though everyday life is continuous, people understand and remember experiences as discrete events separated by boundaries. Event boundaries influence the temporal structure of memory, and are thought to enhance encoding of boundary-adjacen…
View article: Evidence for shallow cognitive maps in schizophrenia
Evidence for shallow cognitive maps in schizophrenia Open
Individuals with schizophrenia can have marked deficits in goal-directed decision making. Prominent theories differ in whether schizophrenia (SZ) affects the ability to exert cognitive control, or the motivation to exert control. An altern…
View article: Need for cognition moderates the relief of avoiding cognitive effort
Need for cognition moderates the relief of avoiding cognitive effort Open
When making decisions, humans aim to maximize rewards while minimizing costs. The exertion of mental or physical effort has been proposed to be one those costs, translating into avoidance of behaviors carrying effort demands. This motivati…
View article: Humans Forgo Reward to Instill Fairness into AI
Humans Forgo Reward to Instill Fairness into AI Open
In recent years, artificial intelligence (AI) has become an integral part of our daily lives, assisting us with decision making. During such interactions, AI algorithms often use human behavior as training input. Therefore, it is important…
View article: Distractor-specific control adaptation in multidimensional environments
Distractor-specific control adaptation in multidimensional environments Open
Goal-directed behavior requires humans to constantly manage and switch between multiple, independent, and conflicting, sources of information. Conventional cognitive control tasks, however, only feature one task and one source of distracti…
View article: Choosing the right frame: How context preferences facilitate subsequent decisions
Choosing the right frame: How context preferences facilitate subsequent decisions Open
Context shapes how we perceive choices and, therefore, how we decide between them. For instance, a large body of literature on the “framing effect” demonstrates that people become more risk-seeking when choices are framed in terms of losse…
View article: Need for cognition moderates cognitive effort aversion
Need for cognition moderates cognitive effort aversion Open
When making decisions, humans aim to maximize rewards while minimizing costs. The exertion of mental or physical effort has been proposed to be one those costs, translating into avoidance of behaviors carrying effort demands. This motivati…
View article: Neurocognitive basis of model-based decision making and its metacontrol in childhood
Neurocognitive basis of model-based decision making and its metacontrol in childhood Open
View article: Humans do not avoid reactively implementing cognitive control
Humans do not avoid reactively implementing cognitive control Open
The ability to exert cognitive control allows us to achieve goals in the face of distraction and competing actions. However, control is costly, and therefore people generally aim to minimize control demands. Because control takes many form…
View article: Computational and Behavioral Markers of Model-based Decision Making in Childhood
Computational and Behavioral Markers of Model-based Decision Making in Childhood Open
Human decision-making is underpinned by distinct systems that differ in flexibility and associated cognitive cost. A widely accepted dichotomy distinguishes between a cheap but rigid model-free system and a flexible but costly model-based …
View article: Reasoning supports utilitarian resolutions to moral dilemmas across diverse measures.
Reasoning supports utilitarian resolutions to moral dilemmas across diverse measures. Open
Sacrificial moral dilemmas elicit a strong conflict between the motive to not personally harm someone and the competing motive to achieving the greater good, which is often described as the "utilitarian" response. Some prior research sugge…
View article: Metacontrol of decision-making strategies in human aging
Metacontrol of decision-making strategies in human aging Open
Humans employ different strategies when making decisions. Previous research has reported reduced reliance on model-based strategies with aging, but it remains unclear whether this is due to cognitive or motivational factors. Moreover, it i…
View article: Author response: Metacontrol of decision-making strategies in human aging
Author response: Metacontrol of decision-making strategies in human aging Open
View article: Boosting model-based control in older adults
Boosting model-based control in older adults Open
The tension between habits and plans is reflected in everyday decision-making. Habits are computationally cheap, but fail to flexibly adapt to changes in the environment. Planning is a flexible decision-making strategy, but requires greate…
View article: The transdiagnostic structure of mental effort avoidance
The transdiagnostic structure of mental effort avoidance Open
View article: Reasoning supports utilitarian resolutions to moral dilemmas across diverse measures
Reasoning supports utilitarian resolutions to moral dilemmas across diverse measures Open
Sacrificial moral dilemmas elicit a strong conflict between the motive not to personally harm someone and the competing motive to achieving the greater good, which is often described as the “utilitarian” response. Some prior research sugge…
View article: The role of empathy in learning to avoid harm to others
The role of empathy in learning to avoid harm to others Open
View article: Competition and Cooperation Between Multiple Reinforcement Learning Systems
Competition and Cooperation Between Multiple Reinforcement Learning Systems Open
View article: Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems
Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems Open
Human behavior is sometimes determined by habit and other times by goal-directed planning. Modern reinforcement-learning theories formalize this distinction as a competition between a computationally cheap but inaccurate model-free system …