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Rule learning by seven-month-old infants.
Three experiments suggest that 7-month-old infants can represent, extract, and generalize abstract algebraic rules.
Overregularization in language acquisition.
- G. Marcus, S. Pinker, M. Ullman, M. Hollander, T. J. Rosen, F. Xu
- Computer Science, MedicineMonographs of the Society for Research in Child…
The traditional account in which memory operates before rules cannot be replaced by a connectionist alternative in which a single network displays rotelike or rulelike behavior in response to changes in input statistics, and a simple explanation is proposed.
German Inflection: The Exception That Proves the Rule
- G. Marcus, U. Brinkmann, H. Clahsen, R. Wiese, S. Pinker
- Medicine, Computer ScienceCognitive Psychology
- 1 December 1995
This work finds 21 circumstances for regular past tense formation, including novel, unusual-sounding, and rootless and headless derived words; in every case, people inflect them regularly and are evidence for a memory-independent, symbol-concatenating mental operation.
The Algebraic Mind: Integrating Connectionism and Cognitive Science
- G. Marcus
In The Algebraic Mind, Gary Marcus attempts to integrate two theories about how the mind works, one that says that the mind is a computer-like manipulator of symbols, and another that says that the…
Rethinking Eliminative Connectionism
- G. Marcus
- Psychology, MedicineCognitive Psychology
- 1 December 1998
It is shown that the class of eliminative connectionist models that is currently popular cannot learn to extend universals outside the training space, and this limitation might be avoided through the use of an architecture that implements symbol manipulation.
Deep Learning: A Critical Appraisal
- G. Marcus
- Computer ScienceArXiv
- 2 January 2018
Ten concerns for deep learning are presented, and it is suggested that deep learning must be supplemented by other techniques if the authors are to reach artificial general intelligence.
Commonsense reasoning and commonsense knowledge in artificial intelligence
AI has seen great advances of many kinds recently, but there is one critical area where progress has been extremely slow: ordinary commonsense.
Regular and irregular inflection in the acquisition of German noun plurals
Based on longitudinal data from impaired and unimpaired monolingual German-speaking children, a striking, statistically significant correlation is found: plural affixes that are used in overregularizations, namely -n or -s, are left out within compounds, showing that even impaired children are sensitive to the distinction between regular and irregular morphology.
Negative evidence in language acquisition
- G. Marcus
- Medicine, PsychologyCognition
- 31 January 1993
It is shown that noisy feedback is unlikely to be necessary for language learning because if noisy feedback exists it is too weak, and internal mechanisms are necessary to account for the unlearning of ungrammatical utterances.
Infant Rule Learning Facilitated by Speech
A striking finding is reported: Infants are better able to extract rules from sequences of nonspeech—such as sequences of musical tones, animal sounds, or varying timbres—if they first hear those rules instantiated in sequences of speech.