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Published on: January 29, 2020
On the evolution and optimality of mood States
Pete C Trimmer1, Elizabeth S Paul2, Mike T Mendl2
1School of Biological Sciences, University of Bristol, Woodland Road, Bristol BS8 1UG, UK.
This study proposes moods are adaptive evolutionary processes guiding decisions for resource acquisition and harm avoidance. Two key dimensions, expectation and preparedness, optimize behavioral choices and decision speed for maximizing benefits.
Area of Science:
- Evolutionary Psychology
- Behavioral Economics
- Decision Science
Background:
- Moods are fluctuating dispositions influencing evaluations.
- Understanding mood's adaptive function is crucial for behavioral decision-making.
- Previous models lack a comprehensive evolutionary framework for mood.
Purpose of the Study:
- To develop an evolutionary approach to mood as an adaptive process.
- To investigate the structure and function of mood in guiding decisions.
- To identify key dimensions for optimizing behavioral choices.
Main Methods:
- Utilized a drift diffusion model of decision-making.
- Modeled decisions between approach/withdraw options for stimuli.
- Analyzed information requirements for optimal decision-making.
Main Results:
- Two dimensions, expectation and preparedness, are sufficient for optimal decisions.
- These dimensions modulate choice (approach/withdraw) and decision speed.
- The proposed structure aligns with circumplex models of mood and affect.
Conclusions:
- Moods function as an adaptive mechanism for optimizing behavioral decisions.
- Expectation and preparedness are key dispositional dimensions in mood regulation.
- This framework offers testable hypotheses for mood-valence-arousal relationships across ecological niches.
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