论文标题
CAAI-一种在网络物理生产系统中引入人工智能的认知建筑
CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems
论文作者
论文摘要
本文介绍了CAAI，Caai是一种新型的网络物理生产系统人工智能的认知结构。该体系结构的目的是减少用于使用人工智能算法的实施工作。 CAAI的核心是一个认知模块，该模块可以处理用户的声明目标，选择合适的模型和算法，并为在大数据平台上执行处理管道创建配置。针对绩效标准的持续观察和评估评估许多用例和不同用例的管道性能。基于这些评估，如有必要，管道将自动调整。具有明确定义的接口的模块化设计可以使管道组件的可重复性和可扩展性。一个大数据平台实现了这种模块化设计，该设计由Docker，Kubernetes和Kafka等技术支持，用于虚拟化和编排各个组件及其交流。使用现实世界的用例评估体系结构的实现。
This paper introduces CAAI, a novel cognitive architecture for artificial intelligence in cyber-physical production systems. The goal of the architecture is to reduce the implementation effort for the usage of artificial intelligence algorithms. The core of the CAAI is a cognitive module that processes declarative goals of the user, selects suitable models and algorithms, and creates a configuration for the execution of a processing pipeline on a big data platform. Constant observation and evaluation against performance criteria assess the performance of pipelines for many and varying use cases. Based on these evaluations, the pipelines are automatically adapted if necessary. The modular design with well-defined interfaces enables the reusability and extensibility of pipeline components. A big data platform implements this modular design supported by technologies such as Docker, Kubernetes, and Kafka for virtualization and orchestration of the individual components and their communication. The implementation of the architecture is evaluated using a real-world use case.
