Sirois, S., & Shultz, T. R. (1997).  A neural network model of discrimination shifts. Proceedings of the Nineteenth Annual Conference of the Cognitive Science Society (p. 1053). Mahwah, NJ: Erlbaum.



It was recently claimed that feedforward neural networks cannot simulate what is considered to be rule-based behavior in adult humans (Raijmakers, van Koten, & Molenaar, 1996). Back-propagation networks learning discrimination shifts were found to behave in an associative way characteristic of young children. We suggest that these simulations are flawed by using layered networks on linear problems.


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