A General Framework for Human-in-the-Loop Cognitive Digital Twins

Parisa Niloofar, Sanja Lazarova-Molnar, Femi Omitaomu, Haowen Xu, Xueping Li

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Modelling and analysis of systems that are equipped with sensors and connected to the Internet are becoming more automated and less human-dependent. However, bringing expert knowledge into the loop along with data obtained from Internet of Thing (IoT) devices minimizes the risk of making poor and unexplainable decisions and helps to assess the impact of different strategies before applying them in reality. While Digital Twins are more of a data-driven simulation of the physical system, Cognitive Digital Twins bring the human dimension into the modelling and simulation. In this paper, we aim to emphasize the crucial role of explainability and the underlying rationale behind automated or interactive decision-making processes. Furthermore, we propose an initial framework that delineates the specific points within the feedback loop of a cognitive digital twin where human involvement can be incorporated.
Original languageEnglish
Title of host publication2023 Winter Simulation Conference (WSC)
PublisherIEEE
Publication date2023
Pages3202-3213
ISBN (Electronic)979-8-3503-6966-3
DOIs
Publication statusPublished - 2023
Event2023 Winter Simulation Conference (WSC) - San Antonio Marriott Rivercenter, San Antonio, United States
Duration: 10. Dec 202313. Dec 2023

Conference

Conference2023 Winter Simulation Conference (WSC)
LocationSan Antonio Marriott Rivercenter
Country/TerritoryUnited States
CitySan Antonio
Period10/12/202313/12/2023
SeriesWinter Simulation Conference. Proceedings
ISSN0891-7736

Fingerprint

Dive into the research topics of 'A General Framework for Human-in-the-Loop Cognitive Digital Twins'. Together they form a unique fingerprint.

Cite this