title: The computational implementation of the landscape model: modeling inferential processes and memory representations of text comprehension.
abstract: The complexity of text comprehension demands a computational approach to describe the cognitive processes involved. In this article, we present the computational implementation of the landscape model of reading. This model captures both on-line comprehension processes during reading and the off-line memory representation after reading is completed, incorporating both memory-based and coherence-based mechanisms of comprehension. The overall architecture and specific parameters of the program are described, and a running example is provided. Several studies comparing computational and behavioral data indicate that the implemented model is able to account for cycle-by-cycle comprehension processes and memory for a variety of text types and reading situations.
authors.affiliation: National Chung Cheng University, Chia-Yi, Taiwan.
authors.forename: Yuhtsuen
authors.initials: Y
authors.lastname: Tzeng
authors.forename: Paul
authors.initials: P
authors.lastname: van den Broek
authors.forename: Panayiota
authors.initials: P
authors.lastname: Kendeou
authors.forename: Chengyuan
authors.initials: C
authors.lastname: Lee
mesh_terms: D003071:Cognition; D006801:Humans; D008568:Memory; D011932:Reading; D012984:Software; D014584:User-Computer Interface