Does opposition logic provide evidence for conscious and unconscious processes in artificial grammar learning?

Consciousness and Cognition 12 (2):201-218 (2003)
Abstract
The question of whether studies of human learning provide evidence for distinct conscious and unconscious influences remains as controversial today as ever. Much of this controversy arises from the use of the logic of dissociation. The controversy has prompted the use of an alternative approach that places conscious and unconscious influences on memory retrieval in opposition. Here we ask whether evidence acquired via the logic of opposition requires a dual-process account or whether it can be accommodated within a single similarity-based account. We report simulations using a simple neural network model of two artificial grammar learning experiments reported by Higham, Vokey, and Pritchard that dissociated conscious and unconscious influences on classification. The simulations demonstrate that opposition logic is insufficient to distinguish between single- and multiple-system models
Keywords *Artificial Intelligence  *Classification (Cognitive Process)  *Consciousness States  *Grammar  *Logic (Philosophy)  Machine Learning  Models  Neural Networks
Categories (categorize this paper)
DOI 10.1016/S1053-8100(02)00068-5
Options
 Save to my reading list
Follow the author(s)
Edit this record
My bibliography
Export citation
Find it on Scholar
Mark as duplicate
Request removal from index
Revision history
Download options
Our Archive


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 30,798
Through your library
References found in this work BETA
Characteristics of Dissociable Human Learning Systems.R. Shanks David & John Mark F. St - 1994 - Behavioral and Brain Sciences 17 (3):367-395.
Implicit Learning of Artificial Grammars.Arthur S. Reber - 1967 - Journal of Verbal Learning and Verbal Behavior 6:855-863.

View all 14 references / Add more references

Citations of this work BETA

View all 6 citations / Add more citations

Similar books and articles
Added to PP index
2009-01-28

Total downloads
23 ( #226,469 of 2,202,425 )

Recent downloads (6 months)
1 ( #301,061 of 2,202,425 )

How can I increase my downloads?

Monthly downloads
My notes
Sign in to use this feature