A Data Driven Agent Elicitation Pipeline for Prediction Models

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 simula...

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Bibliographic Details
Published inBusiness Process Management Workshops pp. 570 - 582
Main Authors Larsen, John Bruntse, Burattin, Andrea, Davis, Christopher John, Hjardem-Hansen, Rasmus, Villadsen, Jørgen
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes in Business Information Processing
Subjects
Agent-based simulation
Emergency Rooms
Process mining
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Summary: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.
ISBN:3030374521
9783030374525
ISSN:1865-1348
1865-1356
DOI:10.1007/978-3-030-37453-2_46