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The affective gradient hypothesis: an affect-centered account of motivated behavior
1Department of Psychology, Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.
Trends in Cognitive Sciences
|September 25, 2024
Summary
This study proposes the affective gradient hypothesis, suggesting that feelings, not just value estimates, are the primary drivers of motivated behavior. It explains how our minds navigate towards desirable emotional states and away from undesirable ones.
Area of Science:
- Neuroscience
- Psychology
- Decision-making
Background:
- Dominant models posit that actions are guided by value estimates, with affect (feelings) shaping or being shaped by these values.
- The precise mechanism linking emotions and actions remains a subject of debate.
Purpose of the Study:
- To propose a novel hypothesis where affect is the sole driver of actions.
- To explain the origin of values and goals.
- To offer a parsimonious account for the interplay between emotion and cognition.
Main Methods:
- Conceptual framework development.
- Theoretical analysis of motivated behavior.
- Exploration of affective states and future representations.
Main Results:
- Introduces the affective gradient hypothesis: the mind represents potential future states and their associated feelings.
- Behavior is driven by traversing an 'affective gradient' towards positive feelings and away from negative ones.
- This framework provides a unified explanation for the source of values and goals.
Conclusions:
- Affect is the fundamental form of value that directs motivated behavior.
- The affective gradient hypothesis offers a parsimonious explanation for the relationship between emotion, cognition, and goal-directed actions.
Keywords:
cognitive controldecision-makingemotiongoal-directed behaviormotivationself-regulationvalueMore Related Videos
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