Need for closure is associated with urgency in perceptual decision-making
Nathan J Evans1, Babette Rae2, Maxim Bushmakin3
1Department of Psychology, Vanderbilt University, Nashville, TN, USA.
Memory & Cognition
|June 7, 2017
Summary
Balancing urgency and caution is key in decision-making. A unified mathematical framework explains this balance across different scales, from brain circuits to personality traits.
Area of Science:
- Cognitive Science
- Neuroscience
- Psychology
Background:
- Decision-making is pervasive, involving a trade-off between speed (urgency) and accuracy (caution).
- This urgency-caution balance is observed across diverse contexts and time scales.
Purpose of the Study:
- To present a single mathematical framework explaining the urgency-caution balance in decision-making.
- To demonstrate the framework's applicability across different scales of decision processes.
Main Methods:
- Development of a unified mathematical model for decision-making.
- Application of the model to analyze decision processes at neuronal and behavioral levels.
Main Results:
- The proposed mathematical framework successfully accounts for the urgency-caution balance.
- The framework's explanatory power spans from rapid neuronal computations to long-term personality traits.
Conclusions:
- A single mathematical framework can unify the understanding of decision-making urgency and caution.
- This approach offers insights into how cognitive processes balance speed and accuracy across various temporal scales.
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