Agent-Based Directly-Follows Graphs

Abstract

Agent system mining is a branch of process mining that adopts a bottom-up approach to data-driven analysis of socio-technical systems, such as organizations executing business processes. In this setting, a system is analyzed as a collection of autonomous agents, each with its own local state and behavior, that interact with one another and with the environment to contribute to the global behavior of the system. The state-of-the-art approach to discovering systems of agents constructs modular agent system models captured as Petri nets, but does not directly support the analysis of intra- and inter-agent handovers and their frequencies. This paper presents agent-based Directly-Follows Graphs (..