Title:
A Language for Describing Agent Behavior as Hybrid Models
A Language for Describing Agent Behavior as Hybrid Models
Author(s)
Kannan, Suresh K.
Christmann, Hans Claus
Lee, Seungman
Johnson, Eric N.
Kim, So Y. K
Christmann, Hans Claus
Lee, Seungman
Johnson, Eric N.
Kim, So Y. K
Advisor(s)
Editor(s)
Collections
Supplementary to
Permanent Link
Abstract
Air Traffic conflict detection and resolution (CDR) involves multiple domains, the modeling of physical systems such as aircraft, encoding conflict detection algorithms as well as
the procedures(tasks) for conflict resolution. Depending on the analysis being conducted,
an implementation language is usually chosen to cater for easy rendering of algorithms in
the primary domain of interest. The more specialized the choice of implementation language, the greater the difficulty in expanding the fidelity of models in other domains. This
paper takes a unified view of continuous equations, algorithms and procedures. Events that occur in sequence as well as in parallel are represented in a unified manner by interpreting them as hierarchical state-charts at a low-level and as procedures or task trees at a higher
level. The relationship between the two levels are recognized and utilized in decomposing
task trees in to hierarchical state charts and eventually into C++ code for implementation.
Sponsor
Date Issued
2009-08
Extent
Resource Type
Text
Resource Subtype
Proceedings