6G将以智能网络为演进形式,具备内生智能、开放性的特征。智能网络标准化研究中强调了意图驱动网络对实现网络智能化的必要性。但目前基于意图的网络将意图理解为“What to do”而非“What you want”,利用知识定义网络(KDN)可在一定程...6G将以智能网络为演进形式,具备内生智能、开放性的特征。智能网络标准化研究中强调了意图驱动网络对实现网络智能化的必要性。但目前基于意图的网络将意图理解为“What to do”而非“What you want”,利用知识定义网络(KDN)可在一定程度上根据“What to do”完成“How to configure the network”。基于此,提出了意图抽象与知识联合驱动的6G内生智能网络架构,旨在根据“What you want”实现“How to configure the network”。首先,设计了意图抽象模块,通过意图获取、意图转译、意图映射和意图建模,从“What you want”获取“What to do”。其次,提出了认知模块,利用机器学习和逻辑推理联合动态优化获取网络知识,从而根据“What to do”完成“How to configure the network”。最后,介绍了支撑6G内生智能实现的意图映射、网络信息测量、网络策略生成、网络策略验证等关键技术及未来挑战。展开更多
From a Western standpoint, Alaska Native Villages (ANVs) and other indigenous groups have a particular vulnerability to climate change. At the same time, these groups may be seen by themselves and Westerners as having...From a Western standpoint, Alaska Native Villages (ANVs) and other indigenous groups have a particular vulnerability to climate change. At the same time, these groups may be seen by themselves and Westerners as having particular knowledge that can help them adapt to climate change. This paper explores how ANVs are vulnerable to climate change and considers factors such as colonization that aggravate this vulnerability. It then explores how indigenous community knowledge may reduce vulnerability and facilitate adaptation and resilience. It concludes that indigenous community knowledge alone is insufficient to support adaptation and resilience, given the degree of social, political, and climate change, so long as Western institutions privilege Western science over other forms of knowledge. That said, indigenous community knowledge should inform agency decision-making and development projects and may serve as cultural capital that can support resilience. The desire to use indigenous knowledge may be a proxy for a larger issue—the need to include indigenous communities in decision-making about climate change.展开更多
文摘6G将以智能网络为演进形式,具备内生智能、开放性的特征。智能网络标准化研究中强调了意图驱动网络对实现网络智能化的必要性。但目前基于意图的网络将意图理解为“What to do”而非“What you want”,利用知识定义网络(KDN)可在一定程度上根据“What to do”完成“How to configure the network”。基于此,提出了意图抽象与知识联合驱动的6G内生智能网络架构,旨在根据“What you want”实现“How to configure the network”。首先,设计了意图抽象模块,通过意图获取、意图转译、意图映射和意图建模,从“What you want”获取“What to do”。其次,提出了认知模块,利用机器学习和逻辑推理联合动态优化获取网络知识,从而根据“What to do”完成“How to configure the network”。最后,介绍了支撑6G内生智能实现的意图映射、网络信息测量、网络策略生成、网络策略验证等关键技术及未来挑战。
文摘From a Western standpoint, Alaska Native Villages (ANVs) and other indigenous groups have a particular vulnerability to climate change. At the same time, these groups may be seen by themselves and Westerners as having particular knowledge that can help them adapt to climate change. This paper explores how ANVs are vulnerable to climate change and considers factors such as colonization that aggravate this vulnerability. It then explores how indigenous community knowledge may reduce vulnerability and facilitate adaptation and resilience. It concludes that indigenous community knowledge alone is insufficient to support adaptation and resilience, given the degree of social, political, and climate change, so long as Western institutions privilege Western science over other forms of knowledge. That said, indigenous community knowledge should inform agency decision-making and development projects and may serve as cultural capital that can support resilience. The desire to use indigenous knowledge may be a proxy for a larger issue—the need to include indigenous communities in decision-making about climate change.
