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The conceptual framework may be viewed as a controlled-context architecture, consisting of multiple contextual spaces having a multi-dimensional control system.



Context integrative meta-framework

The context integration meta-framework provides a scaffolding for integration and composition of models and frameworks using abstract and spatial visualization perspectives as appropriate

Primary integration frameworks

The framework defines a core set of integration frameworks that align with the primary program portfolio. Each integration framework extends to include multiple additional frameworks and models.

Infrastructure frameworks

A subset of integration frameworks address key infrastructure domains.

Architecture methodology

The program employs a model-driven architecture and engineering methodology, relying on a set of orthogonal conceptual frameworks to promote clean separation of concerns into distinct conceptual dimensions, domains and contexts. Frameworks provide an abstract structure for integration of models into compositions representing domains of interest.

Methodology goals include ensuring clear communication and promoting consensus between stakeholders regarding domains of interest. This includes providing a minimal but sufficient set of base domain-independent models as conceptual building blocks, along with tools and methodologies to ensure sufficiently accurate representation of complex concepts to meet stakeholder requirements in terms of analytical, problem-solving, planning and systems and software engineering activities.

Base contexts

The framework represents several base contexts that provide a key conceptual foundation.


  • Abstract contexts such as cognitive frameworks for mental representations arising from neuro-biological substrates, including phenomenological, epistemological and ontological models and frameworks
  • Physical contexts that map to (3+1 dimensional) real-universe spatial coordinate systems
  • Virtual contexts that model digital representations of abstract, virtual or real-universe entities arising from digital circuitry
  • Cyberphysical contexts that span physical, abstract and virtual contexts

Visualization perspectives

The program methodology supports use of multiple perspectives for visualization of abstract conceptual models.  Where appropriate, the methodology relies on projections and layers to represent multi-dimensional models in two-dimensional space.

  • Network framework : the network framework employs graph modeling primitives to represent entities (nodes) and relationships (edges)
  • Contextual framework : the contextual framework employs construction of multiple distinct views, or aspects, of a domain based on intersections or overlays of dimensions or contexts.
  • Spatial framework : the spatial framework supports representation of two- and three-dimensional spaces within the physical universe, employing layered structures as appropriate to separate domains or contexts that map to a common coordinate system.





Portfolio : Development | Ecosystems, RegionsCommunities, Human, Habitat, Grid | Engineering



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