ABSTRACT
In this chapter, the connectionist/control architecture represents an executable simulation environment within which a number of different models of dual-task performance and workload can be represented. It focuses on the behavioral implications of the model. The proposed model has been used to simulate the acquisition of both single-and dual-task skills. The chapter presents a brief glimpse of single-task learning, concentrating predominantly on the acquisition of dual-task skill. The processes of single- and dual-task skill acquisition are modeled within a hybrid connectionist/control architecture. The model in terms of micro-, macro- and system-level structures is described to provide a concrete representation of controlled processing activities. The current architecture provides a useful framework for thinking about skill acquisition and multi-task performance and training. The chapter explains the challenge of understanding changes in performance with practice.
