Abstract
Analysis, Modeling and Integration of Complex Systems are difficult. Collaboration among dissimilar disciplines is difficult. But, integrated interdisciplinary collaboration is essential in making sense of complex systems. This creates a dilemma with complex systems at the end of one horn and interdisciplinary collaboration at the other. There is another wrinkle, combining the conceptual spaces at the ends of the horns makes each much more difficult.
Rather than trying to pass between the horns of this dilemma, we weave a semantic unification space between them. This does more than ironing out the wrinkle; the threads of common image schemas, cognitive metaphors and conceptual interfaces form a mesh between the organizations of each problem, making the combined problem easier that either is separately. This paper presents a naturally valid, both discipline specific and discipline integrating, framework and a new foundationsl semantic mechanism for making multidisciplinary sense of complex systems
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Wheeler, T.J. (2006). Collaborative Multidiscipline/Multiscale Analysis, Modeling, Simulation and Integration in Complex Systems: System Biology. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751540_69
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DOI: https://doi.org/10.1007/11751540_69
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