Anne-Marie Grisogono

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Emergence is seen as the most significant feature discriminating “complex” from “non complex” systems. Nevertheless, no standard definition of emergence is currently available in the literature. This lack of a shared view affects the development of tools to detect and model emergence for both scientific and engineering applications. Here we review some(More)
The Synthetic Environment Research Facility (SERF) team within Land Operation Division (LOD) is researching the application of Synthetic Environments (SEs) for support to military issues investigations. One of the key areas identified for further research is a more rigorous and comprehensive approach to SE design methodology for specific capability(More)
This paper describes the development of concepts for a military system of systems comprising a variety of land and air assets integrated via network centric technologies and appropriate procedures. A methodology is being applied which aims to coevolve the technology and human aspects of the system of systems. The methodology features synthetic environment(More)
We present a case that Synthetic Environments (SEs) of varying degrees of complexity can address many of the difficult system issues of C4ISR system development that more traditional methods cannot. However it is recognised that complex SEs are relatively expensive compared to simpler modelling and simulation (M&S) approaches, and it is therefore important(More)
This paper explains the concept of temporal convergence in the context of the time-value of knowledge. We explore epistemological aspects of knowledge/information management through notions of human cognitive awareness and mental models by which we may share situational knowledge and common intentions. We explore the temporal relationships of information(More)
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