The RMAS (relational-model multi-agent-system) architecture has been proven as promising multi-agent architecture towards the introduction of autonomic intelligence for industrial agents. In particular, it has been proven also suitable for the enforcement of some parts of the reference model in the IEC 61499 standard for distributed adaptive automation and control systems, namely the Resource model and the Function Block model. In this paper the focus is extended to the Device Management model of thestandard, in order to highlight how RMAS can express the essential self-* capabilities of autonomic industrial agents also in the context of this standard’s reference model. This step is considered major for the factual introduction of AI in industrial playground, with keen attention to a technology that guarantees the explainability, and so controllability and quality of the intelligent automation solutions for industry.

IEC 61499 Device Management Model through the lenses of RMAS

Massimiliano Pirani
2021-01-01

Abstract

The RMAS (relational-model multi-agent-system) architecture has been proven as promising multi-agent architecture towards the introduction of autonomic intelligence for industrial agents. In particular, it has been proven also suitable for the enforcement of some parts of the reference model in the IEC 61499 standard for distributed adaptive automation and control systems, namely the Resource model and the Function Block model. In this paper the focus is extended to the Device Management model of thestandard, in order to highlight how RMAS can express the essential self-* capabilities of autonomic industrial agents also in the context of this standard’s reference model. This step is considered major for the factual introduction of AI in industrial playground, with keen attention to a technology that guarantees the explainability, and so controllability and quality of the intelligent automation solutions for industry.
2021
multi-agent systems
relational model
IEC 61499
autonomic computing
explainable AI
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12607/24582
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