By Topic

Modeling a distributed human-machine system using knowledge engineering techniques

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
J. Murray ; Dept. of Ind. & Oper. Eng., Michigan Univ., Ann Arbor, MI, USA ; Yili Liu

Describes an approach to modeling human-machine system operations that extends the range of applicability of the supervisory control paradigm. The focus is upon heterogeneous environments, where information and influence over the system is distributed among several diverse organizations. These are characterized as intelligent agents, and the approach centers on how the information exchange and shared analysis takes place among them. This paper discusses two tests to verify the practicality of our paradigm in a realistic setting. The tests are part of a study that centers on the human-centered design methods used to construct a prototype machine-intelligent assistant for use in advanced traffic management

Published in:

Human Interaction with Complex Systems, 1996. HICS '96. Proceedings., Third Annual Symposium on

Date of Conference:

25-28 Aug 1996