Exploring the role of Complexity in Error-Driven Knowledge Restructuring

Mr. Christopher Pope

Institute of Cognitive Science

University of Louisiana at Lafayette

 

Abstract

Knowledge restructuring is the process of shifting from one cognitive strategy to another during some complex task such as learning or categorization. Research in the field has indicated that physics and biology students, for example, will often shift from rule-based to exemplar strategies as they master some complex body of knowledge. Previous experiments in the area have produced contradictory results. People are sometimes eager to shift from one strategy to another, and sometimes are very reluctant to do so. This study will attempt to demonstrate that two factors influence this phenomenon: the complexity and the accuracy of competing strategies. A person will tend to adopt a more accurate strategy, but will tend to resist adopting a complex one which is difficult to use. These opposing tendencies explain the apparent contradictions in prior research. People should, according to hypothesis, prefer an easy but modestly accurate strategy over a perfectly accurate but very difficult alternative.