A Naturalistic, Functional Approach to Modeling Language Comprehension

Jerry Ball

This paper describes a naturalistic approach to the development of a large-scale, functional, cognitively plausible model of language comprehension, and contrasts the approach with mainstream cognitive modeling and computational linguistic research. An approach to research is described which accepts the theoretical constraints of a cognitive architecture, while replacing the fine-grained empirical validation typical of small-scale cognitive modeling research with a functionalist methodology and gross level empirical validation more consistent with large-scale AI and theoretical/computational linguistic research.

Submitted: Sep 12, 2008