학술논문

Explainability With Observation Sharing in Long Collaboration Chains of Automated Systems of Systems
Document Type
Periodical
Source
IEEE Software IEEE Softw. Software, IEEE. 41(1):74-86 Jan, 2024
Subject
Computing and Processing
Robots
Observability
Collaboration
Companies
Decision making
Sustainable development
Supply chains
Autonomous systems
Language
ISSN
0740-7459
1937-4194
Abstract
This article introduces a blueprint architecture for long collaboration chains formed by systems of systems, provided by multiple companies, that can significantly improve the understanding of the processes and events taking place. We illustrate the vision with an automated supply chain scenario and utilize example use cases.