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dc.contributor.authorTooming, Uku
dc.contributor.authorMiyazono, Kengo
dc.date.accessioned2025-03-08T07:19:16Z
dc.date.available2025-03-08T07:19:16Z
dc.date.issued2023
dc.date.submitted2023-04-06T08:39:29Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/62291
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/186846
dc.description.abstract1. This chapter argues that our self-knowledge is often mediated by our affective self-knowledge. In other words, we often know about ourselves by knowing our own emotions. More precisely, what Cassam has called “substantial self-knowledge” (SSK), such as self-knowledge of one's character, one's values, or one's aptitudes, is mediated by affective forecasting, which is the process of predicting one's emotional responses to possible situations. For instance, a person comes to know that she is courageous by predicting her own emotional reactions to possible risks and dangers. This hypothesis explains why attaining substantive self-knowledge tends to be difficult. Attaining substantive self-knowledge is difficult because, first, SSK is mediated by affective forecasting and, second, we tend to be wrong about predicting the intensity and duration of our own emotional reactions. As a result, we can identify what is common to central cases of SSK: such cases require knowledge about complex dispositions whose manifestations involve affective responses that one is not sufficiently familiar with. One thus needs to resort to the highly fallible method of affective forecasting.
dc.languageEnglish
dc.rightsopen access
dc.subject.otherAlba Montes Sánchez and Alessandro Salice
dc.subject.otherthema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTM Philosophy of mind
dc.titleChapter 1 Affective Forecasting and Substantial Self-Knowledge
dc.typechapter
oapen.identifier.doi10.4324/9781003310945-3
oapen.relation.isPublishedByfa69b019-f4ee-4979-8d42-c6b6c476b5f0
oapen.relation.isPartOfBookcd6c0031-763e-4b19-a284-eb7ba19d1c8e
oapen.relation.isbn9781032317106
oapen.relation.isbn9781032317113
oapen.imprintRoutledge
oapen.pages23


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