数字生态系统：分布式智能优化
Digital Ecosystems: Optimisation by a Distributed Intelligence
摘要：
智能可以优化数字生态系统吗？分布式智能如何与生态系统动态相互作用？作为基因选择一部分的软件组件本身能像适应性技术那样具有智能吗？我们认为，我们的数字生态系统的进化和生态动态的分布式智能机制的影响，这是一个生物生态系统在分布式网络中不断发展的软件服务的数字对应。我们研究神经网络和支持向量机的学习为基础的模式识别功能，我们的分布式智能。仿真结果表明，数字生态系统的分布式智能的应用表现更好，稍微更有效地由支持向量机比神经网络，并建议它可以有助于优化我们的数字生态系统的操作。
英文摘要：
Can intelligence optimise Digital Ecosystems? How could a distributed intelligence interact with the ecosystem dynamics? Can the software components that are part of genetic selection be intelligent in themselves, as in an adaptive technology? We consider the effect of a distributed intelligence mechanism on the evolutionary and ecological dynamics of our Digital Ecosystem, which is the digital counterpart of a biological ecosystem for evolving software services in a distributed network. We investigate Neural Networks and Support Vector Machine for the learning based pattern recognition functionality of our distributed intelligence. Simulation results imply that the Digital Ecosystem performs better with the application of a distributed intelligence, marginally more effectively when powered by Support Vector Machine than Neural Networks, and suggest that it can contribute to optimising the operation of our Digital Ecosystem.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
