The Neural Correlates of Analogy Component Processes.
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| Title: | The Neural Correlates of Analogy Component Processes. |
|---|---|
| Authors: | Parsons, John‐Dennis1 (AUTHOR) jddparsons@gmail.com, Davies, Jim2 (AUTHOR) |
| Source: | Cognitive Science. Mar2022, Vol. 46 Issue 3, p1-28. 28p. |
| Subject Terms: | *Analogy, *Problem solving, Frontoparietal network, Large-scale brain networks, Prefrontal cortex |
| Abstract: | Analogical reasoning is a core facet of higher cognition in humans. Creating analogies as we navigate the environment helps us learn. Analogies involve reframing novel encounters using knowledge of familiar, relationally similar contexts stored in memory. When an analogy links a novel encounter with a familiar context, it can aid in problem solving. Reasoning by analogy is a complex process that is mediated by multiple brain regions and mechanisms. Several advanced computational architectures have been developed to simulate how these brain processes give rise to analogical reasoning, like the "learning with inferences and schema abstraction" architecture and the Companion architecture. To obtain this power to simulate human reasoning, theses architectures assume that various computational "subprocesses" comprise analogical reasoning, such as analogical access, mapping, inference, and schema induction, consistent with the structure‐mapping framework proposed decades ago. However, little is known about how these subprocesses relate to actual brain processes. While some work in neuroscience has linked analogical reasoning to regions of brain prefrontal cortex, more research is needed to investigate the wide array of specific neural hypotheses generated by the computational architectures. In the current article, we review the association between historically important computational architectures of analogy and empirical studies in neuroscience. In particular, we focus on evidence for a frontoparietal brain network underlying analogical reasoning and the degree to which brain mechanisms mirror the computational subprocesses. We also offer a general vantage on the current‐ and future‐states of neuroscience research in this domain and provide some recommendations for future neuroimaging studies. [ABSTRACT FROM AUTHOR] |
| Copyright of Cognitive Science 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: | Education Research Complete |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 155978022 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Neural Correlates of Analogy Component Processes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Parsons%2C+John‐Dennis%22">Parsons, John‐Dennis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jddparsons@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Davies%2C+Jim%22">Davies, Jim</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Cognitive+Science%22">Cognitive Science</searchLink>. Mar2022, Vol. 46 Issue 3, p1-28. 28p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Analogy%22">Analogy</searchLink><br />*<searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink><br /><searchLink fieldCode="DE" term="%22Frontoparietal+network%22">Frontoparietal network</searchLink><br /><searchLink fieldCode="DE" term="%22Large-scale+brain+networks%22">Large-scale brain networks</searchLink><br /><searchLink fieldCode="DE" term="%22Prefrontal+cortex%22">Prefrontal cortex</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Analogical reasoning is a core facet of higher cognition in humans. Creating analogies as we navigate the environment helps us learn. Analogies involve reframing novel encounters using knowledge of familiar, relationally similar contexts stored in memory. When an analogy links a novel encounter with a familiar context, it can aid in problem solving. Reasoning by analogy is a complex process that is mediated by multiple brain regions and mechanisms. Several advanced computational architectures have been developed to simulate how these brain processes give rise to analogical reasoning, like the "learning with inferences and schema abstraction" architecture and the Companion architecture. To obtain this power to simulate human reasoning, theses architectures assume that various computational "subprocesses" comprise analogical reasoning, such as analogical access, mapping, inference, and schema induction, consistent with the structure‐mapping framework proposed decades ago. However, little is known about how these subprocesses relate to actual brain processes. While some work in neuroscience has linked analogical reasoning to regions of brain prefrontal cortex, more research is needed to investigate the wide array of specific neural hypotheses generated by the computational architectures. In the current article, we review the association between historically important computational architectures of analogy and empirical studies in neuroscience. In particular, we focus on evidence for a frontoparietal brain network underlying analogical reasoning and the degree to which brain mechanisms mirror the computational subprocesses. We also offer a general vantage on the current‐ and future‐states of neuroscience research in this domain and provide some recommendations for future neuroimaging studies. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Cognitive Science 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=155978022 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/cogs.13116 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 1 Subjects: – SubjectFull: Analogy Type: general – SubjectFull: Problem solving Type: general – SubjectFull: Frontoparietal network Type: general – SubjectFull: Large-scale brain networks Type: general – SubjectFull: Prefrontal cortex Type: general Titles: – TitleFull: The Neural Correlates of Analogy Component Processes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Parsons, John‐Dennis – PersonEntity: Name: NameFull: Davies, Jim IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 03640213 Numbering: – Type: volume Value: 46 – Type: issue Value: 3 Titles: – TitleFull: Cognitive Science Type: main |
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