返回
On Causality in Distributed Continuum Systems
DOI:10.1109/MIC.2023.3344248.png)
摘要
En 中文
As distributed continuum systems (DCSs) are envisioned, they will have a massive impact on our future society. Hence, it is of utmost importance to ensure that their impact is socially responsible. Equipping these systems with causal models brings features such as explainability, accountability, and auditability, which are needed to provide the right level of trust. Furthermore, by combining causality with graph-based service-level objectives, we can cope with dynamic and complex system requirements while achieving sustainable development of DCSs' capacities and applications.
Keyword:
Distributed computing
Social factors
Trusted computing
Sustainable development
Service-oriented architecture
Complex systems
期刊
IF:
4.4
论文数:
2.0K
被引数:
2.0K
机构
引用论文
Omnivores Going Astray: A Review and New Synthesis of Abnormal Behavior in Pigs and Laying Hens杂食动物误入歧途: 猪和蛋鸡异常行为的回顾和新合成
Proposition for new terminologies in PCNL: what does ‘ultra-mini-micro’ actually mean?
Urolithiasis
IF0
Governance and sustainability of distributed continuum systems: a big data approach分布式连续体系统的治理和可持续性: 大数据方法
JOURNAL OF BIG DATA
IF6.4
An Effect of Travel YouTube Attributes on Flow and Continuous Using Intention: Focusing on Moderating Effect of Youtube Users’ Personality TraitYouTube旅行视频属性对心流及持续使用意愿的影响:聚焦于YouTube用户人格特质的调节效应

