Artificial intelligence,language, and the study of knowledge

This paper studies the relationship of Artificial Intelligence to the study of language and the representation of the underlying knowledge which supports the comprehension process. It develops the view that intelligence is based on the ability to use large amounts of diverse kinds of knowledge in procedural ways, rather than on the possession of a few general and uniform principles. The paper also provides a unifying thread to a variety of recent approaches to natural language comprehension. We conclude with a brief discussion of how Artificial Intelligence may have a radical impact on education if the principles which it utilizes to explore the representation and use of knowledge are made available to the student to use in his own learning experiences.     

Mental capacity,mental effort,and cognitive style

This study tests the relationship between two theoretical models of human attentional capacity: Pascual-Leone's mental capacity and Kahneman's mental effort. It was found that significant and positive correlations exist between the empirical measures of the above constructs, and the relationship is demonstrated via construct validation by showing that the two constructs relate in the same manner to the subject's cognitive style (i.e., field-dependence/independence).