A Graphical Modeling Language for Artificial Intelligence Applications in Automation Systems
This addresses the challenge of interdisciplinary collaboration in automation systems, but it is incremental as it builds on existing domain-specific tools without fundamentally changing AI or automation paradigms.
The paper tackles the problem of lacking an interdisciplinary graphical modeling language for AI applications in automation systems, which leads to increased development and maintenance efforts, and presents a new language that enables consistent system-level modeling to reduce these efforts.
Artificial Intelligence (AI) applications in automation systems are usually distributed systems whose development and integration involve several experts. Each expert uses its own domain-specific modeling language and tools to model the system elements. An interdisciplinary graphical modeling language that enables the modeling of an AI application as an overall system comprehensible to all disciplines does not yet exist. As a result, there is often a lack of interdisciplinary system understanding, leading to increased development, integration, and maintenance efforts. This paper therefore presents a graphical modeling language that enables consistent and understandable modeling of AI applications in automation systems at system level. This makes it possible to subdivide individual subareas into domain specific subsystems and thus reduce the existing efforts.