Abstract
Structural computing, in one sense, seeks to unify the notions of data and structure under a synthesized abstraction, by which data and structure become views to be applied as the need or desire arises. Indeed, one way of looking at structural computing is that the notions of data and structure are contextual, not essential. Any entity may be data to one person (application, agent, whatever) at one moment, and structure to another. Data and structure are matters of interpretation, not essence. What exactly this has bought us is discussed at length elsewhere [7,10,11].
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Nürnberg, P.J., Wiil, U.K., Hicks, D.L. (2004). A Grand Unified Theory for Structural Computing. In: Hicks, D.L. (eds) Metainformatics. MIS 2003. Lecture Notes in Computer Science, vol 3002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24647-3_1
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DOI: https://doi.org/10.1007/978-3-540-24647-3_1
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