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Chapitre d'ouvrage:
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ID no. (ISBN etc.): 0-262-07213-0
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Clé de citation BibTeX: Hummel2001a
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Hummel, J. E., & Holyoak, K. J. (2001). A process model of human transitive inference. In M. Gattis (Ed.), Spatial schemas and abstract thought. (pp. 279–305). Cambridge, MA: The MIT Press.
Ajoutée par: Sterenn Audo 2008-01-21 14:55:30 Dernièrement modifiée par: Sterenn Audo 2008-01-21 14:57:18
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Résumé
(from the chapter) In this chapter the authors describe a process model of human transitive reasoning that integrates the Learning and Inference with Schemas and Analogies (LISA) model of analogical reasoning with routines for computing relations borrowed from J. E. Hummel and I. Biederman's (1992) model of shape perception and object recognition. The model provides the first explicit algorithmic account of mechanisms by which an internal spatial array (e.g., as used for computing spatial relations in visual perception) might be used to perform transitive inferences. By integrating a Metric Array Model (MAM) within the LISA architecture, the augmented LISA provides an account of how much a spatial module might interact with general semantic representations of word meanings and with the working-memory limits that constrain human reasoning. It is likely that many other aspects of human reasoning, besides transitive inference, also depend on the integration of semantic knowledge and working-memory operations with representations derived from those that support visuospatial perception. The model described in this chapter may provide an example of how connections between perception and thought may be given explicit realization in a neural architecture. (PsycINFO Database Record (c) 2007 APA, all rights reserved)
Ajoutée par: Sterenn Audo
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Idées
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Ajoutée par: Sterenn Audo
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