Cognitive Dynamic Networks

认知动态网络

• 批准号: RGPIN-2014-04464
• 负责人: Haykin, Simon
• 金额: $ 3.72万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=587825
• 关键词: Cognitive; Dynamic; Networks

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.

总结 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）的开创性工作基础上，麦克马斯特大学的Simon Haykin在过去10年中进行了研究。 在描述性术语中，CDN的研究体现了两个基本不同的实体，但集成到一个项目中：内存和网络。 记忆部分由一个分层结构组成，其中每一层由一组三个认知（代表认知单位）组成，即：感知环境的感知认知;对环境采取行动的执行认知;以及在感知和执行认知之间进行调解并稳定它们的工作记忆认知。 至于网络，它的功能是将传感器（负责生成可观察数据）、存储器和电机控制器集成在一个保护伞下。 这种集成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。 而记忆期待认知神经科学的灵感，网络期待新的快速加速，广泛定义的网络科学的数学和计算的需要 CDN项目包含三项任务，总结如下：任务1涉及CDN的实施，基于一个新的软件模块，可以适应相关（即，有价值的）信息。 任务2研究CDN的内在属性，即稳定性，可靠性的鲁棒性和涌现行为，以及CDN的外在属性，即可观察性，可控性和普遍性。任务3涉及CDN可以发挥实际作用的三个领域：北极研究、电网和沿着加拿大-美国边境五大湖的国家安全。