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Increasing resolution in the mechanisms of resolve.

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Title: Increasing resolution in the mechanisms of resolve.
Authors: Bulley, Adam (AUTHOR), Schacter, Daniel L. (AUTHOR)
Source: Behavioral & Brain Sciences. 2021, Vol. 44, p1-57. 3p.
Subjects: Self-control, Ambiguity, Hope
Abstract: Ainslie offers an encompassing and compelling account of willpower, although his big-picture view comes occasionally at the cost of low resolution. We comment on ambiguity in the metacognitive and prospective mechanisms of resolve implicated in recursive self-prediction. We hope to show both the necessity and promise of specifying testable cognitive mechanisms of willpower. [ABSTRACT FROM AUTHOR]
Copyright of Behavioral & Brain Sciences is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Increasing resolution in the mechanisms of resolve.
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  Data: Ainslie offers an encompassing and compelling account of willpower, although his big-picture view comes occasionally at the cost of low resolution. We comment on ambiguity in the metacognitive and prospective mechanisms of resolve implicated in recursive self-prediction. We hope to show both the necessity and promise of specifying testable cognitive mechanisms of willpower. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Behavioral & Brain Sciences is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1017/S0140525X20000801
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              Text: 2021
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