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Titlebook: Business Process Management; 21st International C Chiara Di Francescomarino,Andrea Burattin,Shazia S Conference proceedings 2023 The Editor

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楼主: 吞食
发表于 2025-4-1 03:31:28 | 显示全部楼层
Action-Evolution Petri Nets: A Framework for Modeling and Solving Dynamic Task Assignment Problemso achieve optimal task assignment, it is necessary to model the assignment problem first. While there exist separate formalisms, specifically Markov Decision Processes and (Colored) Petri Nets, to model, execute, and solve different aspects of the problem, there is no integrated modeling technique.
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Context-Based Activity Label-Splittinge automated analysis of such data, generating insights that may ultimately lead to process improvement. A core branch of process mining is process discovery, dealing with event-data-based automated discovery of process models. In practice, the same activity may often be executed in a significantly d
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Agent Miner: An Algorithm for Discovering Agent Systems from Event Dataesses. Existing discovery algorithms are predominantly concerned with constructing process models that represent the control flow of the processes. Agent system mining argues that business processes often emerge from interactions of autonomous agents and uses event data to construct models of the ag
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