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Cognitive Analysis for Knowledge Modeling in Air Traffic Control Work

  • Satoru Inoue
  • Hisae Aoyama
  • Keiichi Nakata
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6761)

Abstract

Air Traffic Control systems are a kind of service which allows controllers from the ground to keep aircraft safely separated to avoid collisions. It is important to use cognitive systems for the development of this type of critical system. Systems should not only have high performance functions, but also have better user friendly functions and accessibility. It can be said that we have to analyze the functional elements in the work of systems design. To design more reliable interfaces or training programs for the provision of ATC systems, we need to understand the details of basic functions of air traffic controller’s tasks within the system. In this research, we discuss the analysis of ATC tasks and modeling of the knowledge of air traffic controllers. And then, we attempt to formalize the basic knowledge of controllers to help them to have a good understanding of the knowledge structure and logical relations.

Keywords

Knowledge Management Tacit Knowledge Explicit Knowledge Knowledge Network Cognitive Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Satoru Inoue
    • 1
  • Hisae Aoyama
    • 1
  • Keiichi Nakata
    • 2
  1. 1.ATM DepartmentElectronic Navigation Research InstituteChofuJapan
  2. 2.Informatics Research CentreUniversity of ReadingWhiteknightsUnited Kingdom

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