Cognitive Dynamic Networks

**认知动态网络（CDN）的研究受到人类大脑的启发，将建立在认知动态系统（CDS）的开创性工作的基础上，这方面的研究已经由麦克马斯特大学的西蒙·海金（Simon Haykin）进行了大约10年。用描述性的术语来说，CDN的研究包含了两个基本不同的实体，但整合到一个项目中：记忆和网络。记忆部分由分层结构组成，其中每一层由一组三个认知单元（代表认知单元）组成，即：感知环境的感知认知；环境行动的行政认知；工作记忆认知在知觉认知和执行认知之间起中介作用并使它们稳定下来。至于网络，它的功能是将传感器（负责产生可观察值）、存储器和电机控制器集成在一个保护伞下。这种整合的最终结果是一个强大的CDN，它是随机自组织的，而且很复杂；因此，它能够在有限的计算资源约束下处理大数据。记忆研究从认知神经科学中寻找灵感，而网络研究则从新的快速发展的、广义的网络科学中寻找灵感，以满足数学和计算需求** CDN项目包含三个任务，总结如下：任务1涉及CDN的实施，该CDN基于一个新的软件模块，该模块可以容纳对相关（即有价值）信息的大数据处理。Task 2研究CDN的内在性质，即稳定性、可靠性鲁棒性和涌现行为，以及CDN的外在性质，即可观察性、可控性和普适性。任务3解决了CDN可以发挥实际作用的三个领域：北极研究、电网和沿五大湖的加拿大-美国边境的国家安全。

SUMMARY**Research into Cognitive Dynamic Networks (CDN), inspired by the human brain, will build on the pioneering work done on Cognitive Dynamic Systems (CDS), research into which has been carried out by Simon Haykin, McMaster University, for about the last 10 years. In descriptive terms, the study of CDN embodies two basically different entities, but integrated together into one project: The Memory, and the Network. The Memory part consists of a layered structure, wherein each layer consists of a set of three cognits (standing for cognitive units), namely: perceptual cognit for perceiving the environment; executive cognit for action on the environment; and working-memory cognit that mediates between the perceptual and execute cognits and stabilizes them. As for the Network, its function is to integrate the sensors (responsible for generating the observables), the memory, and motor controllers under a single umbrella. The net result of this integration is a powerful CDN, which is stochastic self-organized, and complex; it is therefore capable of processing Big Data under the constraint of limited computational resources. Whereas the Memory looks to Cognitive Neuroscience for inspiration, the Network looks to the new fast-accelerating, broadly defined Network Science for mathematical and computational need**The CDN project embodies three tasks, summarized as follows: Task 1 involves implementation of the CDN, based on a new software module that can accommodate the processing of Big Data for relevant (i.e., valuable) information. Task 2 studies intrinsic properties of CDN, namely, Stability, Robustness for trustworthiness, and Emergence behaviour, as well as extrinsic properties of CDN, namely, Observability, Controllability, and Universality. Task 3 addresses three areas for which CDN could make a practical difference: Arctic studies, the Power grid, and National security across the Canada-United States border along the Great Lakes.