Rethinking Structural Computing Infrastructures. Nürnberg, P. J., Wiil, U. K., & Hicks, D. L. In pages 239-246.
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Structural computing asserts the primacy of structure over data. This has often been understood to mean that all levels of a structural computing system architecture should exhibit structure awareness, leading to data models centered around so-called "structural atoms." While systems based upon structural atoms do provide ubiquitous first-class structural abstractions, they also freeze the "granularity" of the structuring process throughout their architectures at design-time. That is, decisions regarding representations of structures in structural computing architectures based upon atoms cannot be recast at run-time. In this paper, we examine an alternative to atom-based models for structural computing systems that allows exactly such recasting. We demonstrate how this alternative model, which we call EAD, is superior to atom-based models for certain important applications, and describe our initial prototypical implementations.
@inproceedings{ nue04,
  crossref = {acmht04},
  author = {Peter J. Nürnberg and Uffe Kock Wiil and David L. Hicks},
  title = {Rethinking Structural Computing Infrastructures},
  pages = {239-246},
  doi = {10.1145/1012807.1012868},
  abstract = {Structural computing asserts the primacy of structure over data. This has often been understood to mean that all levels of a structural computing system architecture should exhibit structure awareness, leading to data models centered around so-called "structural atoms." While systems based upon structural atoms do provide ubiquitous first-class structural abstractions, they also freeze the "granularity" of the structuring process throughout their architectures at design-time. That is, decisions regarding representations of structures in structural computing architectures based upon atoms cannot be recast at run-time. In this paper, we examine an alternative to atom-based models for structural computing systems that allows exactly such recasting. We demonstrate how this alternative model, which we call EAD, is superior to atom-based models for certain important applications, and describe our initial prototypical implementations.}
}
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