Reducing problem complexity by analogical transfer

Behavioral and Brain Sciences 20 (1):71-72 (1997)
Abstract
Analogical transfer in sequence learning is presented as an example of how the type-2 problem of learning an unbounded number of isomorphic sequences is reduced to the type-1 problem of learning a small finite set of sequences. The commentary illustrates how the difficult problem of appropriate analogical filter creation and selection is addressed while avoiding the trap of strong nativism, and it provides theoretical and experimental evidence for the existence of dissociable mechanisms for type-1 learning and type-2 recoding.
Keywords No keywords specified (fix it)
Categories (categorize this paper)
DOI 10.1017/S0140525X97270020
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: 30,169
Through your library
References found in this work BETA

No references found.

Add more references

Citations of this work BETA

No citations found.

Add more citations

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

Total downloads
16 ( #305,430 of 2,192,005 )

Recent downloads (6 months)
1 ( #289,020 of 2,192,005 )

How can I increase my downloads?

Monthly downloads
My notes
Sign in to use this feature