Clinton Heinze

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Mainstreaming and industrialising agent technologies requires suitable methodological and technological support for the various engineering activities associated with managing the complexity of any software system development. Despite its origins in object oriented software engineering the UML provides a rich and extensible set of modelling constructs that(More)
Within Air Operations Division of DSTO 1 intelligent agents are used to model the tactical decision making processes of pilots and ghter-controllers involved in air combat. One of the largest hurdles to be overcome by software engineers and analysts, when developing simulations of the air defence environment, is the acquisition of domain knowledge.(More)
A view of plan recognition shaped by both operational and computational requirements is presented. Operational requirements governing the level of delity and nature of the reasoning process combine with computational requirements including performance speed and software engineering e ort to constrain the types of solutions available to the software(More)
This paper reports experiences and outcomes of designing and developing an agent-based, autonomous mission control system for an unmanned aerial vehicle (UAV). Most UAVs are not truly autonomous or even unmanned but are more correctly termed 'uninhabited' or 'remotely piloted'. This paper explores two quite different approaches for adding autonomous control(More)
Operational Research computer models must model both the relevant physical systems and the behaviour of their operators. The simulation requirements for these two components and the techniques used for developing, designing, validating and verifying them are quite different. In air combat these differences are heightened by the complexity of the physical(More)
The problem of whole air mission modelling is part of a larger problem which is the problem of simulating possible war-like scenarios in the air, sea, and on land. In such modelling systems one is required to model the behaviour of various actors and the resources that are available to them. One aspect of this problem is the modelling of a group of actors(More)
In Collected Papers of the SOAR/IFOR Project, 78–81. Marina del Ray, Calif.: University of Southern California Information Sciences Institute. Tidhar, G.; Heinze, C.; and Selvestrel, M. 1998. Flying Together: Modeling Air Mission Teams. Applied Intelligence 8(3): 195–218. Tidhar, G.; Murray, G.; and Steuart, S. 1995. Computer-Generated Forces and(More)
Modern defence systems include advanced aircraft, ships, radar, weapons, command and control systems, and most importantly human operators. The main objective of modelling and simulation tools is to allow operational analysts to rapidly specify and evaluate existing and proposed systems and procedures for operating these systems. Such tools are required to(More)
Air mission modelling using graphical simulation provides a powerful means for development and evaluation of tactics. However, large models are particularly expensive and time-consuming to maintain and modify. Multi-aircraft full mission man-in-the-loop simulators will provide an even more complex programming environment. The dMARS software provides a(More)