应用数字生态系统生物学
Biology of Applied Digital Ecosystems
摘要：
我们研究数字生态系统的主要动机是希望利用生物生态系统的自组织特性。生态系统被认为是强大的，可扩展的架构，可以自动解决复杂的，动态的问题。然而，在数字生态系统研究中，对这些特性有贡献的生物过程还没有明确。在这里，我们讨论了生物特性如何有助于生物生态系统的自组织功能，包括人口动态，进化，一个复杂的动态环境，以及空间分布产生当地的相互作用。然后考虑在人工系统中利用这些属性的潜力。我们认为，在现有的数字生态系统中，生物生态系统的几个关键特征尚未得到充分探索，并讨论如何模仿这些特征可能有助于开发强大的，可扩展的自组织架构。一个示例架构，数字生态系统，被认为是详细。然后，通过模拟实验测量数字生态系统，测量方法来自理论生态学，以确认其与生物生态系统的相似性。包括响应用户群的应用请求，作为“生态演替”（发展）的衡量标准。
英文摘要：
A primary motivation for our research in Digital Ecosystems is the desire to exploit the self-organising properties of biological ecosystems. Ecosystems are thought to be robust, scalable architectures that can automatically solve complex, dynamic problems. However, the biological processes that contribute to these properties have not been made explicit in Digital Ecosystems research. Here, we discuss how biological properties contribute to the self-organising features of biological ecosystems, including population dynamics, evolution, a complex dynamic environment, and spatial distributions for generating local interactions. The potential for exploiting these properties in artificial systems is then considered. We suggest that several key features of biological ecosystems have not been fully explored in existing digital ecosystems, and discuss how mimicking these features may assist in developing robust, scalable self-organising architectures. An example architecture, the Digital Ecosystem, is considered in detail. The Digital Ecosystem is then measured experimentally through simulations, with measures originating from theoretical ecology, to confirm its likeness to a biological ecosystem. Including the responsiveness to requests for applications from the user base, as a measure of the 'ecological succession' (development).
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