- New
-
Topics
- All Categories
- Metaphysics and Epistemology
- Value Theory
- Science, Logic, and Mathematics
- Science, Logic, and Mathematics
- Logic and Philosophy of Logic
- Philosophy of Biology
- Philosophy of Cognitive Science
- Philosophy of Computing and Information
- Philosophy of Mathematics
- Philosophy of Physical Science
- Philosophy of Social Science
- Philosophy of Probability
- General Philosophy of Science
- Philosophy of Science, Misc
- History of Western Philosophy
- Philosophical Traditions
- Philosophy, Misc
- Other Academic Areas
- Journals
- Submit material
- More
Simple recurrent networks can distinguish non-occurring from ungrammatical sentences given appropriate task structure: reply to Marcus
Cognition 73 (3):297-300 (1999)
Abstract
This article has no associated abstract. (fix it)Links
PhilArchive
External links
(no proxy)
Setup an account with your affiliations in order to access resources via your University's proxy server
Through your library
- Sign in / register and customize your OpenURL resolver
- Configure custom resolver
My notes
Similar books and articles
Neural networks discover a near-identity relation to distinguish simple syntactic forms.Thomas R. Shultz & Alan C. Bale - 2006 - Minds and Machines 16 (2):107-139.
Language acquisition in the absence of explicit negative evidence: can simple recurrent networks obviate the need for domain-specific learning devices?Gary F. Marcus - 1999 - Cognition 73 (3):293-296.
Two apparent 'counterexamples' to Marcus: A closer look. [REVIEW]Marius Vilcu & Robert F. Hadley - 2005 - Minds and Machines 15 (3-4):359-382.
Simple sentences, substitution, and intuitions.Jennifer Mather Saul - 2007 - New York: Oxford University Press.
Fractal Analysis Illuminates the Form of Connectionist Structural Gradualness.Whitney Tabor, Pyeong Whan Cho & Emily Szkudlarek - 2013 - Topics in Cognitive Science 5 (3):634-667.
Systematicity: Psychological evidence with connectionist implications.S. Phillips & G. S. Halford - unknown
Supervised learning in recurrent networks.Kenji Doya - 1995 - In Michael A. Arbib (ed.), Handbook of Brain Theory and Neural Networks. MIT Press.
Recurrent networks: learning algorithms.Kenji Doya - 2002 - In The Handbook of Brain Theory and Neural Networks. pp. 955--960.
In Defence of Anthropomorphic Theism.Peter Forrest - 2011 - European Journal for Philosophy of Religion 3 (1):105 - 122.
Structured propositions and sentence structure.Jeffrey King - 1996 - Journal of Philosophical Logic 25 (5):495 - 521.
From Simon 's scissors for rationality to abc's adaptive toolbox.X. T. Wang - 2000 - Behavioral and Brain Sciences 23 (5):765-766.
Analytics
Added to PP
2014-01-20
Downloads
26 (#612,648)
6 months
4 (#795,160)
2014-01-20
Downloads
26 (#612,648)
6 months
4 (#795,160)
Historical graph of downloads
Citations of this work
Parallel Distributed Processing at 25: Further Explorations in the Microstructure of Cognition.Timothy T. Rogers & James L. McClelland - 2014 - Cognitive Science 38 (6):1024-1077.
References found in this work
The Algebraic Mind: Integrating Connectionism and Cognitive Science.Gary F. Marcus - 2001 - MIT Press.
Learning and development in neural networks: the importance of starting small.Jeffrey L. Elman - 1993 - Cognition 48 (1):71-99.
Artificial grammar learning by 1-year-olds leads to specific and abstract knowledge.Rebecca L. Gomez & LouAnn Gerken - 1999 - Cognition 70 (2):109-135.
Artificial grammar learning by 1-year-olds leads to specific and abstract knowledge.Rebecca L. Gomez & LouAnn Gerken - 1999 - Cognition 70 (2):109-135.
Language acquisition in the absence of explicit negative evidence: how important is starting small?Douglas L. T. Rohde & David C. Plaut - 1999 - Cognition 72 (1):67-109.
PhilPapers logo by Andrea Andrews and Meghan Driscoll.
This site uses cookies and Google Analytics (see our terms & conditions for details regarding the privacy implications). Use of this site is subject to terms & conditions.
All rights reserved by The PhilPapers Foundation
Server: philpapers-web-5ff6c685cb-9vkzx uwo