This contribution introduces a new generalization of the Harmony Theory neural network model. It is used to simulate the problem solving behavior in arithmetic tasks. The simulations show how this kind of models cannot, in most cases, account for the cognitive phase transitions associated to problem solving in human subjects
Phase Transitions in a Neural Model of Problem Solving
PESSA, ELIANO;
2002-01-01
Abstract
This contribution introduces a new generalization of the Harmony Theory neural network model. It is used to simulate the problem solving behavior in arithmetic tasks. The simulations show how this kind of models cannot, in most cases, account for the cognitive phase transitions associated to problem solving in human subjectsFile in questo prodotto:
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