Behavioral and Brain Sciences 20 (1):81-82 (1997)
|Abstract||Clark & Thornton present the well-established principle that recoding inputs can make learning easier. A useful goal would be to make such recoding automatic. We discuss some ways in which incrementality and transfer in connectionist networks could attain this goal.|
|Keywords||No keywords specified (fix it)|
|Through your library||Configure|
Similar books and articles
Robert F. Hadley (1994). Systematicity in Connectionist Language Learning. Mind and Language 9 (3):247-72.
Edward P. Stabler (1988). Learning Simple Things: A Connectionist Learning Problem From Various Perspectives. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1988:424 - 441.
Thomas R. Shultz (2008). Toward Automatic Constructive Learning. Behavioral and Brain Sciences 31 (3):344-345.
Brian P. McLaughlin & F. Warfield (1994). The Allure of Connectionism Reexamined. Synthese 101 (3):365-400.
William Bechtel (1993). Currents in Connectionism. Minds and Machines 3 (2):125-153.
Peter F. Dominey (1997). Reducing Problem Complexity by Analogical Transfer. Behavioral and Brain Sciences 20 (1):71-72.
A. Vinter & P. Perruchet (1997). Relational Problems Are Not Fully Solved by a Temporal Sequence of Statistical Learning Episodes. Behavioral and Brain Sciences 20 (1):82-82.
Graeme S. Halford (1997). Recoding Can Lead to Inaccessible Structures, but Avoids Capacity Limitations. Behavioral and Brain Sciences 20 (1):75-75.
Andrew Wells (1997). Evolution's Gift is the Right Account of the Origin of Recoding Functions. Behavioral and Brain Sciences 20 (1):83-83.
Sorry, there are not enough data points to plot this chart.
Added to index2009-01-28
Recent downloads (6 months)0
How can I increase my downloads?