Modeling with Perceptual and Memory Constraints: An EPIC-Soar Model of a Simplified Enroute Air Traffic Control Task
Final rept. Oct 1998-Jan 2001
SOAR TECHNOLOGY INC ANN ARBOR MI
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This document reports the human performance model developed by Soar Technology, Inc. as part of the initial model comparison process of the Agent-Based Modeling and Behavioral Representation AMBR program being conducted by the Air Force Research Laboratory. The Soar effort is a simplified enroute air traffic control ATC task. A human subject or the model performs the task of a controller by communicating with adjacent traffic controllers and aircraft to maintain a smooth flow of traffic into and out of the center airspace. Smooth flow is defined as performing aircraft and ATC transaction in a timely manner such that aircraft do not enter a hold pattern because they have not been transacted. The architecture used is a hybrid system called EPIC-Soar. EPIC Executive Process-Interactive Control is an architecture whose primary goal is to account for detailed human dual-task performance. Soar is a general architecture for building artificially intelligent systems and for modeling human cognition and behavior. EPIC-Soar is an integration of the perceptual and motor processor models of EPIC and Soar. It is an attempt to get the best of both worlds the detailed predictions and explanations of sensory and motor systems from EPIC, and the broader, cognitive problem solving, planning, and learning capabilities of Soar.
- Theoretical Mathematics