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Department of Health Systems Engineering, KTH Royal Institute of Technology, Hälsovägen 11, Huddinge and Sweden

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1 Papers

Harnessing Web 3.0 and R to Mitigate Simulation Validation Restrictions

Topics: Interoperability; Logistics; Decision Support Systems; Case Studies; Verification and Validation

Authors: Bill Roungas ¹ , Sebastiaan Meijer ² and Alexander Verbraeck ¹

Affiliations: ¹ Department of Multi Actor Systems, Delft University of Technology, Jaffalaan 5, Delft and The Netherlands , ² Department of Health Systems Engineering, KTH Royal Institute of Technology, Hälsovägen 11, Huddinge and Sweden

Digital Object Identifier: 10.5220/0006861200440054

Proceedings of SIMULTECH 2018, ISBN: 978-989-758-323-0

Quick Abstract

The complexity of modern systems has made the use of simulations paramount, in order to test different scenarios in an affordable, ethical, and risk-free way. As such, simulations need to be validated, ensuring that the obtained results are meaningful. But validation apart from the computational difficulties, bears several other problems. The constant need for validation due to updates on the simulation software, the dependence on the validation experts to be always available for the new iterations and for presenting any new insights are just some of these problems. This paper proposes a framework, and applies it to two case studies, which is based on Web 3.0 technologies and the R statistical language as a mean to mitigate such problems.

Related Ontology Subjects/Areas/Topics (30)

Artificial Intelligence	Decision Support Systems, Remote Data Analysis	Logistics
Biomedical Engineering	e-Business	Neural Rehabilitation
Business Analytics	Enterprise Information Systems	Neurotechnology, Electronics and Informatics
Cardiovascular Technologies	Formal Methods	Ontologies and the Semantic Web
Case Studies	Health Engineering and Technology Applications	Sensor Networks
Collaboration and e-Services	Health Information Systems	Simulation and Modeling
Complex Systems Modeling and Simulation	Integration/Interoperability	Simulation Tools and Platforms
Computing and Telecommunications in Cardiology	Interoperability	Software Agents and Internet Computing
Data Engineering	Knowledge Management and Information Sharing	Software and Architectures
Decision Support Systems	Knowledge-Based Systems	Symbolic Systems