Negative affect-driven impulsivity as hierarchical model-based overgeneralization.

Area of Science:

• Cognitive Psychology
• Neuroscience
• Behavioral Economics

Background:

• Generalization is crucial for learning, allowing adaptation to new situations based on past experiences.
• Traditional views categorize behaviors as either model-based (MB) or model-free (MF), with reactive behaviors often assumed to be MF.
• Overgeneralization, particularly in emotionally charged situations, can lead to suboptimal decision-making.

Purpose of the Study:

• To re-examine reactive and rigid behaviors through the lens of generalization models.
• To propose a novel conceptualization linking emotional impulsivity to overgeneralization.
• To investigate how model-based (MB) processes contribute to behaviors traditionally deemed model-free (MF).

Main Methods:

• Analysis of generalization models in cognitive science.
• Conceptual framework integrating emotional influences on decision-making.
• Examination of how surface-level similarities versus subtle cues impact behavioral generalization.

Main Results:

• Reactive and rigid behaviors, previously considered model-free (MF), can arise from model-based (MB) generalization processes.
• Emotionally driven impulsive behaviors are associated with a tendency to overgeneralize based on superficial similarities.
• Overgeneralization hinders the integration of more informative, discriminant cues in decision-making.

Conclusions:

• Generalization models offer a new perspective on reactive behaviors, revealing underlying model-based (MB) mechanisms.
• Emotional states can promote overgeneralization, leading to rigid and suboptimal behavioral responses.
• Understanding the role of subtle cues is critical for overcoming maladaptive generalization patterns.