中華心理學刊
民96 , 49 卷, 3 期, 245-269
Yuhtsuen Tzeng(Center for Teacher Education & Institute of Curriculum, National Chung Cheng University)
Abstract
A computational approach is desirable for dealing with the complex nature of processes and memory representations in text comprehension. The study focused on a particular model of comprehension-the Landscape model-seeking to establish its validity. Study 1-a explored several conditions of the model and examined the model’s ability to account for human recall data for short narratives. Parameter values were set for optimal conditions and cross-validated in Study 1-b for new story materials. The model showed high stability in accounting for these new texts, indicating its predictive power does not come from choices of particular parameter values. Several simulations in Study 2 revealed that the model’s assumptions concerning the
necessities of anaphoric and causal inferences were validated. The model’s scheme of assigning activation values for different sources of activation was also supported because modifications of the current scheme
reduced performance of the model. Limitations and several lines of future research are discussed.
Keywords: comprehension modeling, Landscape model, text memory