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dc.contributor.authorSzpunar, Karl
dc.contributor.authorSpreng, R. Nathan
dc.contributor.authorSchacter, Daniel
dc.date.accessioned2019-10-17T07:11:32Z
dc.date.issued2014
dc.identifier.citationSzpunar, Karl K., R. Nathan Spreng, and Daniel L. Schacter. 2014. “A Taxonomy of Prospection: Introducing an Organizational Framework for Future-Oriented Cognition: Fig. 1.” Proceedings of the National Academy of Sciences 111 (52): 18414–21. https://doi.org/10.1073/pnas.1417144111.
dc.identifier.issn0027-8424
dc.identifier.issn0744-2831
dc.identifier.issn1091-6490
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41555818*
dc.description.abstractProspection-the ability to represent what might happen in the future-is a broad concept that has been used to characterize a wide variety of future-oriented cognitions, including affective forecasting, prospective memory, temporal discounting, episodic simulation, and autobiographical planning. In this article, we propose a taxonomy of prospection to initiate the important and necessary process of teasing apart the various forms of future thinking that constitute the landscape of prospective cognition. The organizational framework that we propose delineates episodic and semantic forms of four modes of future thinking: simulation, prediction, intention, and planning. We show how this framework can be used to draw attention to the ways in which various modes of future thinking interact with one another, generate new questions about prospective cognition, and illuminate our understanding of disorders of future thinking. We conclude by considering basic cognitive processes that give rise to prospective cognitions, cognitive operations and emotional/motivational states relevant to future-oriented cognition, and the possible role of procedural or motor systems in future-oriented behavior.
dc.language.isoen_US
dc.publisherNational Academy of Sciences
dash.licenseLAA
dc.titleA taxonomy of prospection: Introducing an organizational framework for future-oriented cognition
dc.typeJournal Article
dc.description.versionVersion of Record
dc.relation.journalProceedings of the National Academy of Sciences of the United States of America
dash.depositing.authorSchacter, Daniel L.::e94dca167253512470c09bde2d26790b::600
dc.date.available2019-10-17T07:11:32Z
dash.workflow.comments1Science Serial ID 92158
dc.identifier.doi10.1073/pnas.1417144111
dash.source.volume111;52
dash.source.page18414


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