Conference paper · Book chapter
A Data Driven Agent Elicitation Pipeline for Prediction Models
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Algorithms and Logic, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Software and Process Engineering, Department of Applied Mathematics and Computer Science, Technical University of Denmark3
University of South Florida4
Agent-based simulation is a method for simulating complex systems by breaking them down into autonomous interacting agents. However, to create an agent-based simulation for a real-world environment it is necessary to carefully design the agents. In this paper we demonstrate the elicitation of simulation agents from real-world event logs using process mining methods.
Collection and processing of event data from a hospital emergency room setting enabled real-world event logs to be synthesized from observational and digital data and used to identify and delineate simulation agents.
Language: | English |
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Publisher: | Springer |
Year: | 2020 |
Pages: | 570-582 |
Proceedings: | 17th Int. Conference on Business Process Management<br/> |
Series: | Lecture Notes in Business Information Processing |
ISBN: | 3030374521 , 303037453x , 9783030374525 , 9783030374532 and 303037453X |
ISSN: | 18651356 and 18651348 |
Types: | Conference paper and Book chapter |
DOI: | 10.1007/978-3-030-37453-2_46 |
ORCIDs: | Larsen, John Bruntse , Burattin, Andrea and Villadsen, Jørgen |