Paper
24 July 2002 Integration science and distributed networks
Christopher Landauer, Kirstie L. Bellman
Author Affiliations +
Abstract
Our work on integration of data and knowledge sources is based in a common theoretical treatment of 'Integration Science', which leads to systematic processes for combining formal logical and mathematical systems, computational and physical systems, and human systems and organizations. The theory is based on the processing of explicit meta-knowledge about the roles played by the different knowledge sources and the methods of analysis and semantic implications of the different data values, together with information about the context in which and the purpose for which they are being combined. The research treatment is primarily mathematical, and though this kind of integration mathematics is still under development, there are some applicable common threads that have emerged already. Instead of describing the current state of the mathematical investigations, since they are not yet crystallized enough for formalisms, we describe our applications of the approach in several different areas, including our focus area of 'Constructed Complex Systems', which are complex heterogeneous systems managed or mediated by computing systems. In this context, it is important to remember that all systems are embedded, all systems are autonomous, and that all systems are distributed networks.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher Landauer and Kirstie L. Bellman "Integration science and distributed networks", Proc. SPIE 4745, Technologies, Systems, and Architectures for Trans-National Defense, (24 July 2002); https://doi.org/10.1117/12.475861
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KEYWORDS
Computing systems

Curium

Complex systems

Computer programming

Integration

Systems modeling

Computer programming languages

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