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Enable Flexibilisation in FAIRWork’s Democratic AI-based Decision Support System by Applying Conceptual Models Using ADOxx

Beteiligte Autor*innen der JOANNEUM RESEARCH:
Autor*innen:
Woitsch, Robert and Muck, Christian and Utz, Wilfrid and Zeiner, Herwig
Abstract:
Decisionmaking in complex production environments is challenging as the information and knowledge requirements must be constantly observed since the ecosystems they operate in are continuously changing. Artificial intelligence (AI) can tackle complexity in decisionmaking by making machines more intelligent. But reacting to changing or new problems and related decision processes to facilitate the understanding of the involved humans is an equally important problem. Therefore, decision support systems are required to assist complex decisions and enable flexibility to support the decisionmakers. Within this scope, we will introduce the Democratic AI-based Decision Support System (DAIDSS), which is designed and implemented within the EUfunded FAIRWork project, considering both human and machine actors during decisionmaking. The FAIRWork project proposes a modelbased approach to both express highlevel decision scenarios and formally describe the decision processes, which are then used as input for configuring the decision support system to meet concrete decision problems. …
Titel:
Enable Flexibilisation in FAIRWork’s Democratic AI-based Decision Support System by Applying Conceptual Models Using ADOxx
Herausgeber (Verlag):
Riga Technical University

Publikationsreihe

Name
Complex Systems Informatics and Modeling Quarterly
Herausgeber(Verlag)
Riga Technical University
ISSN
22559922

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