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Predicting Human Performance in Dual-Task Tracking and Decision Making with Computational Models using the EPIC Architecture

EPIC (Executive Process-Interactive Control) is a human information-processing architecture especially suited for modeling human multiple-task performance. The EPIC architecture includes peripheral sensorymotor processors surrounding a production-rule cognitive processor, and is being used to construct precise computational models for basic multiple-task situations. Some of these models are briefly illustrated here to demonstrate how EPIC applies to multiple-task situations and clarifies some basic properties of human performance.