ABSTRACT
This chapter argues that computational modeling is one of the few methods powerful enough to do so. It discusses the strengths and weaknesses of computational modeling. The chapter reviews computational models developed to account for phenomena linked to expertise, discussing in turn the following: models of heuristic search, models based on the mechanism of chunking, connectionist models and production systems. The Chunk Hierarchy and REtrieval STructures architecture (CHREST), which has led to many models of expertise, is then discussed in some detail. The chapter deals with a discussion of why computational modeling, despite considerable advantages, has not enjoyed the same popularity as other methods for studying expertise, and provides recommendations for future research. It reviews computational models developed to account for phenomena linked to expertise, discussing in turn the following: models of heuristic search, models based on the mechanism of chunking, connectionist models and production systems.
