Jump to ContentJump to Main Navigation
The Architecture of CognitionRethinking Fodor and Pylyshyn's Systematicity Challenge$
Users without a subscription are not able to see the full content.

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

Show Summary Details
Page of

PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2017. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use (for details see http://www.mitpress.universitypressscholarship.com/page/privacy-policy).date: 15 December 2017

Systematicity and the Need for Encapsulated Representations

Systematicity and the Need for Encapsulated Representations

Chapter:
(p.165) 7 Systematicity and the Need for Encapsulated Representations
Source:
The Architecture of Cognition
Author(s):

Gideon Borensztajn

Willem Zuidema

William Bechtel

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262027236.003.0007

In this chapter we propose precise operational criteria of systematicity that reveal a connection between the notion of systematicity and causal roles for category membership. We argue that neural network approaches that build on the assumption that grammatical knowledge is encoded implicitly, such as Elman's SRN, fall short of demonstrating systematic behavior precisely because such implicit knowledge plays no causal role in the network dynamics. On the other hand neural networks that employ explicit, encapsulated representations (i.e., representations that encapsulate contextual details) do enable categories to play causal roles. We draw upon insights from neurobiology to show how the hierarchical, columnar organization of the cortex in fact provides a basis for encapsulated representations that are invariant. We then sketch a novel approach to neural network modeling that illustrates how encapsulated representations can be operated on and dynamically bound into complex representations, producing rule-like, systematic behavior capable of dealing with hierarchical syntax.

Keywords:   Systematicity, Neural networks, Encapsulated representations, Memory Prediction Framework, Binding problem, Neural switchboard

MIT Press Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs, and if you can't find the answer there, please contact us.