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CAAI-a cognitive architecture to introduce artificial intelligence in cyber-physical production systems

机译:CAI-A认知架构在网络 - 物理生产系统中引入人工智能

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摘要

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 the user's declarative goals, 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 different 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. The prototypic implementation is accessible on GitHub and contains a demonstration.
机译:本文介绍了CAAI,一种用于网络 - 物理生产系统人工智能的新型认知架构。该架构的目标是减少使用人工智能算法的实施方式。 Caai的核心是处理用户的声明性目标的认知模块,选择合适的模型和算法,并创建用于在大数据平台上执行处理管道的配置。持续的观察和评估性能标准评估了许多和不同用例的管道的性能。基于这些评估,如果需要,管道将自动调整。具有明确定义的接口的模块化设计使得管道组件的可重用性和可扩展性。大数据平台实现了由Docker,Kubernetes和Kafka等技术支持的这种模块化设计,用于个人组件的虚拟化和编排和他们的通信。使用真实用例评估架构的实现。 GitHub可访问原型实现,并包含演示。

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