State Optimism as a State-Dependent Prior About Rewarding Outcomes

Abstract Optimism has recently been shown to have a state-like aspect that fluctuates within individuals. Given that optimism represents expectations for one’s own future, its intraindividual changes may interact with learning and decision-making. However, how optimism can be placed in a formal learning theory remains elusive. Here, we tested potential dynamic relationships between state optimism and learning by conducting behavioral tasks and questionnaire surveys pre- and post-intervention to increase optimism ( n = 95 for the intervention group and n = 41 for the control group), which has been shown to be effective for trait optimism in previous meta-analyses. After demonstrating that this intervention was also effective for state optimism, the following preregistered hypotheses were tested: intraindividual changes in state optimism (1) relate to positive belief updating bias and (2) relate to prior expectation about reward likelihood. While the results did not support hypothesis (1), hypothesis (2) was partially supported. Specifically, intraindividual changes in prior about reward, estimated through a reward learning task, showed a positive association with changes in state optimism, measured by questionnaire, in the intervention group. This result suggests a functional role of state optimism in value-based learning and decision-making: it defines a state-dependent general prior of rewarding outcomes, which can optimize the degree of exploration under that state.

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Publication Details

Journal
Computational Brain & Behavior
Published
2025-08-11
DOI
https://doi.org/10.1007/s42113-025-00256-6
Primary Topic
Optimism, Hope, and Well-being
Type
article
Field-Weighted Citation Impact
0.00

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article

State Optimism as a State-Dependent Prior About Rewarding Outcomes

Kenji Morita, Kanji Shimomura
Computational Brain & Behavior
Optimism, Hope, and Well-being
article

State Optimism as a State-Dependent Prior About Rewarding Outcomes

Kenji Morita, Kanji Shimomura
article en

Abstract

Abstract Optimism has recently been shown to have a state-like aspect that fluctuates within individuals. Given that optimism represents expectations for one’s own future, its intraindividual changes may interact with learning and decision-making. However, how optimism can be placed in a formal learning theory remains elusive. Here, we tested potential dynamic relationships between state optimism and learning by conducting behavioral tasks and questionnaire surveys pre- and post-intervention to increase optimism ( n = 95 for the intervention group and n = 41 for the control group), which has been shown to be effective for trait optimism in previous meta-analyses. After demonstrating that this intervention was also effective for state optimism, the following preregistered hypotheses were tested: intraindividual changes in state optimism (1) relate to positive belief updating bias and (2) relate to prior expectation about reward likelihood. While the results did not support hypothesis (1), hypothesis (2) was partially supported. Specifically, intraindividual changes in prior about reward, estimated through a reward learning task, showed a positive association with changes in state optimism, measured by questionnaire, in the intervention group. This result suggests a functional role of state optimism in value-based learning and decision-making: it defines a state-dependent general prior of rewarding outcomes, which can optimize the degree of exploration under that state.

Computational Brain & Behavior
Japan Society for the Promotion of Science (JP), Japan Graduate School of Education University (JP), The University of Tokyo (JP)
Naito Foundation, University of Tokyo, Japan Society for the Promotion of Science
Peace, Justice and strong institutions
Openalex Percentile: Top 77%
Optimism, Hope, and Well-being
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