An evolutionist approach to information bipolarity: Representations and affects in human cognition.
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| Title: | An evolutionist approach to information bipolarity: Representations and affects in human cognition. |
|---|---|
| Authors: | Raufaste, Eric1 raufaste@univ-tlse2.fr, Vautier, Stéphane2 |
| Source: | International Journal of Intelligent Systems. Aug2008, Vol. 23 Issue 8, p878-897. 20p. 3 Diagrams, 1 Chart, 1 Graph. |
| Subjects: | Bipolarity (International relations), International relations, Psychological research, Social science research, Human experimentation in psychology |
| Abstract: | This paper investigates the psychological plausibility of the bipolarity concept, i.e., that positive and negative kinds of information are treated differently. Sections 2 and 3 review relevant investigations of the representational and affective systems in the experimental psychology literature. Section 4 provides new data supporting the idea that even when considering how affective changes occur, a certain level of independence exists between the positive and negative sides of affect. Together the studies reported here strongly support the psychological plausibility of bipolarity: Positive and negative kinds of information are not processed in the same way whichever domain is considered, preferences (affect) or beliefs (mental categories). © 2008 Wiley Periodicals Inc. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Intelligent Systems is the property of Wiley-Blackwell 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: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 32840416 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An evolutionist approach to information bipolarity: Representations and affects in human cognition. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Raufaste%2C+Eric%22">Raufaste, Eric</searchLink><relatesTo>1</relatesTo><i> raufaste@univ-tlse2.fr</i><br /><searchLink fieldCode="AR" term="%22Vautier%2C+Stéphane%22">Vautier, Stéphane</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Intelligent+Systems%22">International Journal of Intelligent Systems</searchLink>. Aug2008, Vol. 23 Issue 8, p878-897. 20p. 3 Diagrams, 1 Chart, 1 Graph. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Bipolarity+%28International+relations%29%22">Bipolarity (International relations)</searchLink><br /><searchLink fieldCode="DE" term="%22International+relations%22">International relations</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+research%22">Psychological research</searchLink><br /><searchLink fieldCode="DE" term="%22Social+science+research%22">Social science research</searchLink><br /><searchLink fieldCode="DE" term="%22Human+experimentation+in+psychology%22">Human experimentation in psychology</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper investigates the psychological plausibility of the bipolarity concept, i.e., that positive and negative kinds of information are treated differently. Sections 2 and 3 review relevant investigations of the representational and affective systems in the experimental psychology literature. Section 4 provides new data supporting the idea that even when considering how affective changes occur, a certain level of independence exists between the positive and negative sides of affect. Together the studies reported here strongly support the psychological plausibility of bipolarity: Positive and negative kinds of information are not processed in the same way whichever domain is considered, preferences (affect) or beliefs (mental categories). © 2008 Wiley Periodicals Inc. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Intelligent Systems is the property of Wiley-Blackwell 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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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/int.20298 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 878 Subjects: – SubjectFull: Bipolarity (International relations) Type: general – SubjectFull: International relations Type: general – SubjectFull: Psychological research Type: general – SubjectFull: Social science research Type: general – SubjectFull: Human experimentation in psychology Type: general Titles: – TitleFull: An evolutionist approach to information bipolarity: Representations and affects in human cognition. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Raufaste, Eric – PersonEntity: Name: NameFull: Vautier, Stéphane IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2008 Type: published Y: 2008 Identifiers: – Type: issn-print Value: 08848173 Numbering: – Type: volume Value: 23 – Type: issue Value: 8 Titles: – TitleFull: International Journal of Intelligent Systems Type: main |
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