바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

A Neural Network Simulation of the Guided Search Model

The Korean Journal of Cognitive and Biological Psychology / The Korean Journal of Cognitive and Biological Psychology, (P)1226-9654; (E)2733-466X
1998, v.10 no.1, pp.37-54
Ho-Wan Kwak (Department of Psychology, Kyungpook National University)
Ji-Eun Kwahk (Department of Psychology, Kyungpook National University)
  • Downloaded
  • Viewed

Abstract

This study carried out to implement the Guided Search Model (GSM; Wolfe, Cave, and Franzel, 1989) in visual search using a neural network modeling technique. In Study 1, effects of noise on visual search were examined by adding noise in two different layers: the input layer and the activation map layer. When the noise was inserted in the input layer, the search performance for the feature search condition showed a linearly increasing function, whereas no such pattern was observed in the activation map layer-noise condition. In Study 2, we compared the simulation results of this model with those of the previous studies in order to show the validity and the generalizability of the model. The results were consistent with those of Wolfe et al.(1989) in most of the tasks employed. The simulation results were then compared with the results of other previous studies. In general, out simulation results were found to be compatible with the predictions of GSM.

keywords

The Korean Journal of Cognitive and Biological Psychology