首页> 外文会议>International Conference on Computational Science and Its Applications(ICCSA 2006) pt.1; 20060508-11; Glasgow(GB) >Collaborative Multidiscipline/Multiscale Analysis, Modeling, Simulation and Integration in Complex Systems: System Biology
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Collaborative Multidiscipline/Multiscale Analysis, Modeling, Simulation and Integration in Complex Systems: System Biology

机译:复杂系统中的多学科协作/多尺度分析,建模,仿真和集成:系统生物学

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摘要

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
机译:复杂系统的分析,建模和集成非常困难。不同学科之间的合作非常困难。但是,综合的跨学科协作对于理解复杂系统至关重要。这就造成了一个难题,一个难题的末端是复杂的系统,而另一个难题则是跨学科的合作。还有一个皱纹,将喇叭两端的概念空间组合在一起会使每个难度变得更大。与其尝试在这个难题的两角之间传递,不如在它们之间编织一个语义统一的空间。这不仅可以消除皱纹,还可以消除皱纹。常见的图像模式,认知隐喻和概念性接口的线程在每个问题的组织之间形成了一个网孔,使合并的问题变得更容易,而这两个问题都可以单独解决。本文提出了一种自然有效的,既针对学科又针对学科整合的框架,并提出了一种使复杂系统具有多学科意义的新的基础语义机制。

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