scholarly journals Discrimination and reproduction of patterns: Feature measures and constraint redundancy as predictors

1969 ◽  
Vol 6 (5) ◽  
pp. 276-280 ◽  
Author(s):  
Cynthia M. Mavrides ◽  
D. R. Brown
Keyword(s):  
Constraint Redundancy

A constraint redundancy elimination strategy to improve design reuse in parametric modeling

2021 ◽  
Vol 129 ◽  
pp. 103460
Author(s):  
Carmen González-Lluch ◽  
Raquel Plumed ◽  
David Pérez-López ◽  
Pedro Company ◽  
Manuel Contero ◽  
...  
Keyword(s):  
Parametric Modeling ◽  
Design Reuse ◽  
Redundancy Elimination ◽  
Constraint Redundancy ◽  
Improve Design

Constraint Redundancy as a Determiner of Attribute- and Rule-Learning Aspects of Sequential Pattern Recognition

1972 ◽  
Vol 35 (3) ◽  
pp. 771-778
Author(s):  
Charles R. Corum ◽  
Bill R. Brown
Keyword(s):  
Pattern Recognition ◽  
Learning Process ◽  
Probability Learning ◽  
Recognition Task ◽  
Rule Learning ◽  
Necessary Condition ◽  
Constraint Redundancy ◽  
Schema Learning ◽  
Attribute Learning ◽  
Pattern Recognition Task

The purpose of this experiment was to assess the manner in which attribute-learning and rule-formation components of schema learning vary as a function of constraint redundancy magnitude. Twenty-four Ss participated in a pattern recognition task involving 70%, 50%, 40%, or 20% redundant Markov sequences sampled from three different schema families. Ss were required to work through the 90 sequences in a manner similar to that encountered in a probability learning paradigm. Results showed that decreasing magnitude of redundancy reduced the degree to which both attribute- and rule-learning occurred. The supposition that constraint redundancy is a necessary condition for and one of the main determiners of the schema-learning process was thus confirmed.

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