A Data Driven Agent Elicitation Pipeline for Prediction Models.
Business Process Management Workshops(2019)
摘要
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.
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关键词
Agent-based simulation, Process mining, Emergency Rooms
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