| Title: | Narratives need not end well; nor say it all |
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| Authors: | ID Andreetta, Sara (Author)
ID Spalla, Davide (Author)
ID Treves, Alessandro (Author) |
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| Files: |  https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/abs/narratives-need-not-end-well-nor-say-it-all/E6429D27204BF6333BB7FA6BD8ECC01F
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| Language: | English |
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| Work type: | Unknown |
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| Typology: | 1.03 - Other scientific articles |
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| Organization: | UNG - University of Nova Gorica
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| Abstract: | To fully embrace situations of radical uncertainty, we argue that the theory should abandon the requirements that narratives, in general, must lead to affective evaluation, and that they have to explain (and potentially simulate) all or even the bulk of the current decisional context. Evidence from studies of incidental learning show that narrative schemata can bias decisions while remaining fragmentary, insufficient for prediction, and devoid of utility values. |
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| Keywords: | conviction narrative theory, Hebbian learning, schemata, memory, neuroscience |
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| Publication date: | 01.01.2023 |
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| Year of publishing: | 2023 |
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| Number of pages: | str. 1-2 |
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| Numbering: | Vol. 46, [article no.] ǂe83 |
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| PID: | 20.500.12556/RUNG-8195-329a54de-640a-7898-4ac4-2a418e78d3a4  |
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| COBISS.SI-ID: | 151540483 |
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| UDC: | 81 |
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| ISSN on article: | 1469-1825 |
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| DOI: | 10.1017/S0140525X22002655 |
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| NUK URN: | URN:SI:UNG:REP:P5VFJCTY |
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| Publication date in RUNG: | 10.05.2023 |
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| Views: | 2037 |
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| Downloads: | 3 |
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| Metadata: |    |
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