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The Architecture of CognitionRethinking Fodor and Pylyshyn's Systematicity Challenge$
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Paco Calvo and John Symons

Print publication date: 2014

Print ISBN-13: 9780262027236

Published to MIT Press Scholarship Online: September 2014

DOI: 10.7551/mitpress/9780262027236.001.0001

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Getting Real about Systematicity

Getting Real about Systematicity

Chapter:
(p.147) 6 Getting Real about Systematicity
Source:
The Architecture of Cognition
Author(s):

Stefan L. Frank

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262027236.003.0006

This chapter empirically investigates the issue of systematicity and connectionism under more realistic conditions than was the case in previous studies. A connectionist and a symbolic model of sentence processing are compared on their ability to perform systematically. Both models are trained on over 700,000 sentences, and tested on 361 sentences, from naturally occurring texts. Although the symbolic model does display slightly stronger systematicity, there is a striking similarity between the two models’ performance. It is argued that real-world tasks pose such strong demands and constraints that performance cannot differ much across models. Consequently, the issue of systematicity loses much of its relevance.

Keywords:   Connectionist and symbolic models, Sentence processing, Computational linguistics, Systematicity, Real-world constraints

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