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Model-Based Cooperative System Engineering and Integration

Authors: Christopher Landauer; Kirstie L. Bellman;

Model-Based Cooperative System Engineering and Integration

Abstract

This paper is about some difficult issues in systems of systems engineering, especially when the systems are self-modeling. The questions are about which of the available participant systems have the collection of capabilities desired, how to use them to provide those capabilities, and how to avoid introducing new error modes that emerge from the interaction. In this paper, we describe the process of designing and constructing a system of systems, starting with a provided mapping from the perceived need to a coordinated set of system capabilities that can address that need, some of which are missing capabilities for which new systems are needed. The system engineering aspects of this problem are difficult: the available information about the component system capabilities is always incomplete and often inconsistent, and there can be only approximations of the range of environmental behaviors. For these applications, the design will have to change as the environmental conditions change. These systems are in "continual dynamic development", which is why we think the systems should manage and perform the integration tasks themselves. This paper shows one way to do that.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Top 10%
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