Rule-plus-exception model of classification learning.

@article{Nosofsky1994RuleplusexceptionMO,
  title={Rule-plus-exception model of classification learning.},
  author={Robert M. Nosofsky and Thomas J. Palmeri and Simon Mckinley},
  journal={Psychological review},
  year={1994},
  volume={101 1},
  pages={
          53-79
        }
}
The authors propose a rule-plus-exception model (RULEX) of classification learning. According to RULEX, people learn to classify objects by forming simple logical rules and remembering occasional exceptions to those rules. Because the learning process in RULEX is stochastic, the model predicts that individual Ss will vary greatly in the particular rules that are formed and the exceptions that are stored. Averaged classification data are presumed to represent mixtures of these highly… CONTINUE READING

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