Air Operations Enterprise Modelling
Project funded under the DARPA JFACC program
AIAI Staff: John Kingston, Jessica Chen-Burger, Lea Ruscio
AIAI worked on the “Agile Control of Military Operations”
project as part of the BBN Technologies Air Operations Enterprise Modelling
team. AIAI’s original aims of carrying
out model integration and development, requirements capture & experiment
analysis, model configuration & modification and model assessment were
modified to meet the revised requirements of the project as the project progressed.
AIAI therefore carried out three major work items:
modelling. This provided the theoretical basis for our analysis of
enterprise modelling, and in particular for the selection of modelling
techniques to represent the results of knowledge acquisition. We examined
issues such as ontology, appropriate modelling techniques, and automatic
acquisition. We initially acquired some knowledge from existing IDEF0
models as part of our multi-perspective modelling work, and represented
this knowledge using Business System Development models, working on the
basis that an air operations enterprise could be represented using similar
modelling techniques to other business enterprises. However, it was felt
that a more coherent, complete and consistent set of models could be
obtained by carrying out knowledge acquisition with a recognised expert on
air operations. It was also felt there would be benefits in using a more
widely known modelling technique. This knowledge acquisition was therefore
carried out, and the results modelled using a combination of IDEF0, Role
Activity Communication Diagrams, and UML.
Adversary. The Intelligent Adversary is a program that combines two AI
techniques – rule based programming and genetic algorithms – to produce a
planning system that directs military units to attack and/or defend key
targets. It is an “adversary” because it is designed to play the Red side
against various controllers based on control theory that direct the Blue
units; it is “intelligent” because it incorporates some principles of
military strategy and tactics whilst trying to optimise the use of
available military resources. The Intelligent Adversary has been developed
to a stage where it can be considered to be an operational prototype.
Knowledge-based Automatic Verification & Validation for
Business Models. Y-H Chen-Burger, D. Robertson and J. Stader. Proceedings of
the 1st Workshop on Advances in Enterprise Control
A Knowledge Based Multi-Perspective Framework For Enterprise
Modelling. Y-H Chen-Burger. AIAI Technical report, 2001.
Knowledge Sharing and Inconsistency checking on Multiple
Enterprise Models. Y-H Chen-Burger. Proceedings of the Knowledge Management
& Organizational Memory Workshop, IJCAI-2001, Seattle, Washington, 6 August
Knowledge Models in BSDM.Y-H Chen-Burger. AIAI Project
Knowledge Models in RACD and UML. Y-H Chen-Burger and L.
Tonnesson. AIAI Project report.
Ruscio, L., Levine, J. and Kingston, J. (2000). Applying Genetic Algorithms to Hierarchical Task Network Planning. Proceedings of the19th Workshop of the UK Planning and Scheduling Special Interest Group (PLANSIG 2000), Open University, Milton Keynes, UK, December 2000.
Intelligent Adversary: Combining Knowledge Based Systems and Genetic Algorithms
for Military Planning. AIAI project report. Will be submitted to an appropriate
journal or conference.