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Predicates as cantilevers for the bridge between perception and knowledge.

Gregory V Jones1

  • 1Department of Psychology, University of Warwick, Coventry, United Kingdom G.V.Jones@warwick.ac.uk http://www.warwick.ac.uk/fac/sci/Psychology/staff/academic.html#GJ.

The Behavioral and Brain Sciences
|February 5, 2008
PubMed
Summary
This summary is machine-generated.

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This study compares perception-focused predicate-argument and knowledge-focused ease-of-predication approaches. It highlights their differing predicate characterizations, revealing a cognitive gap yet to be bridged.

Area of Science:

  • Cognitive Science
  • Linguistics
  • Computational Neuroscience

Background:

  • Two primary cognitive approaches to understanding predicates exist: the predicate-argument approach and the ease-of-predication approach.
  • The predicate-argument approach centers on perceptual information, while the ease-of-predication approach emphasizes encyclopedic knowledge.

Purpose of the Study:

  • To compare and contrast the predicate-argument and ease-of-predication approaches to predicate characterization.
  • To identify the fundamental differences in how these two cognitive frameworks define and utilize predicates.

Main Methods:

  • Comparative analysis of theoretical frameworks.
  • Examination of predicate characterization within each approach.
  • Discussion of functional prediction and connectionist model implementation for the ease-of-predication approach.

Related Experiment Videos

Main Results:

  • The predicate-argument and ease-of-predication approaches characterize predicates in fundamentally different ways.
  • The ease-of-predication approach offers functional prediction and is amenable to connectionist modeling.
  • Significant divergence exists between the two models, suggesting distinct cognitive underpinnings.

Conclusions:

  • The two approaches represent distinct cognitive perspectives on predicate understanding, akin to cantilevers extending from opposite sides of cognition.
  • A conceptual gap remains in bridging the perception-based predicate-argument model with the knowledge-based ease-of-predication model.