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University students’ perceptions towards using exemplars dialogically to develop evaluative judgement. The case of a high-stakes language test
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Files to support: "Prior Experience with Unlabeled Actions Promotes 3-Year-Old Children’s Verb Learning" ...
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Dual PECCS: a cognitive system for conceptual representation and categorization
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Abstract:
In this article we present an advanced version of Dual-PECCS, a cognitively- inspired knowledge representation and reasoning system aimed at extending the capabilities of artificial systems in conceptual categorization tasks. It combines different sorts of common-sense categorization (prototypical and exemplars-based categorization) with standard monotonic categorization procedures. These different types of inferential procedures are reconciled according to the tenets coming from the dual process theory of reasoning. On the other hand, from a representational perspective, the system relies on the hypothesis of conceptual structures represented as heterogeneous proxytypes. Dual-PECCS has been experimentally assessed in a task of conceptual categorization where a target concept illustrated by a simple common-sense linguistic description had to be identified by resorting to a mix of categorization strategies, and its output has been compared to human responses. The obtained results suggest that our approach can be beneficial to improve the representational and reasoning conceptual capabilities of standard cognitive artificial systems, and – in addition – that it may be plausibly applied to different general computational models of cognition. The current version of the system, in fact, extends our previous work, in that Dual- PECCS is now integrated and tested into two cognitive architectures, ACT-R and CLARION, implementing different assumptions on the underlying invariant structures governing human cognition. Such integration allowed us to extend our previous evaluation.
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Keyword:
ACT-R; Artificial Intelligence; categorization; CLARION; cognitive architectures; common-sense reasoning; conceptual spaces; exemplars; heterogeneous proxytypes; Knowledge representation; prototypes; Software; Theoretical Computer Science
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URL: http://hdl.handle.net/2318/1603656
https://doi.org/10.1080/0952813X.2016.1198934
http://www.tandfonline.com/doi/pdf/10.1080/0952813X.2016.1198934
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"Je te baptise", exemplaires et conditions performatives
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In: Représentations du sens linguistique 5 ; https://halshs.archives-ouvertes.fr/halshs-00696982 ; Dominique Lagorgette et Piere Larrivée. Représentations du sens linguistique 5, Presses de l'Université de Savoie, pp.137, 2014, Langages, ISBN-10 2919732153 ISBN-13 9782919732159 (2014)
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Black as night or as a chimney sweep? Color words and typical exemplars
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| 7 |
No longer exempt from good practice: using exemplars to close the feedback gap for exams
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Review: David Silverman (2001). Interpreting Qualitative Data: Methods for Analysing Talk, Text and Interaction
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In: Forum Qualitative Sozialforschung / Forum: Qualitative Social Research ; 2 ; 3 (2012)
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From Exemplar to Grammar: A Probabilistic Analogy-based Model of Language Learning
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In: http://staff.science.uva.nl/~rens/analogy.pdf (2009)
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An exemplar-based model of chain shifts
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In: http://www.icphs2007.de/conference/Papers/1282/1282.pdf (2007)
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An exemplar-based model of chain shifts
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In: http://faculty.wcas.northwestern.edu/~met179/ling/ettlinger_icphs.pdf (2007)
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Shifting Categories: An Exemplar-based Computational Model of Chain Shifts
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In: http://faculty.wcas.northwestern.edu/~met179/ling/ettlinger_cogsci.pdf
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Shifting Categories: An Exemplar-based Computational Model of Chain Shifts
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In: http://linguistics.berkeley.edu/phonlab/annual_report/documents/2007/op463-ettlinger1.pdf
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| 14 |
Multiple Exemplars Increase Swapping in Novel Word Learning
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In: http://csjarchive.cogsci.rpi.edu/proceedings/2007/docs/p1832.pdf
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A Prototype-Exemplars Hybrid Cognitive Model of “Phenomenon of Typicality” in Categorization: A Case Study in Biological Classification
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In: http://csjarchive.cogsci.rpi.edu/Proceedings/2008/pdfs/p1176.pdf
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Rules and Exemplars in Language Acquisition
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In: http://staff.science.uva.nl/%7Erens/cogscisymposium08.pdf
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