Paper Info
Title
Developing an agent model of human performance in air traffic control operations using Apex cognitive architecture
Abstract
For the analysis of large-scale complex systems, agent-based modeling and simulation has proven to provide a valuable research tool. The emphasis has, however, typically been on representing the dynamic behavior of physical entities such as aircraft. Simulation of human operators has often been minimal even though human behavior has an enormous impact on overall system performance and safety. Therefore, human capabilities and limitations need to be taken into account early in the system design process before irrevocable choices have been made. This paper reports on the development of agent models with human-like performance characteristics using a cognitive architecture. We present an agent model of an air traffic controller that is developed and incorporated into an agent-based simulation of the national airspace to support the design and evaluation of advanced air transportation concepts.
Year
DOI
Venue
2005
10.1109/WSC.2005.1574348
Winter Simulation Conference
Keywords
Field
DocType
human-like performance characteristic,agent model,dynamic behavior,agent-based simulation,human capability,advanced air transportation concept,human performance,human behavior,human operator,air traffic control operation,air traffic controller,apex cognitive architecture,agent-based modeling,complex system,system design,cognitive architecture,human factors,system performance,air traffic control,multi agent systems,air transport
Complex system,Systems engineering,Modeling and simulation,Simulation,Air traffic control,Computer science,Aviation,Airspace class,Multi-agent system,Cognitive architecture,Air traffic controller
Conference
ISBN
Citations 
PageRank 
0-7803-9519-0
2
0.40
References 
Authors
5
3
Name
Order
Citations
PageRank
Seung Man Lee1141.63
Ujwala Ravinder241.25
James C. Johnston320.74