Agent System Mining: Vision, Benefits, and Challenges

In the Agent-Based Modeling (ABM) paradigm, an organization is a Multi-Agent System (MAS) composed of autonomous agents inducing business processes. Process Mining automates creation, update, and analysis explicit process models based on event data. techniques make simplifying assumptions about processes discovered from However, actual are often more complex than those restricted by assumptions. Several approaches relax these standard discovering realistic models. These can discover difficult to visualize and, consequently, understand. Many MASs induce whose behaviors become with each next embraced time step, while complexities remain constant. Thus, ABM paradigm cope naturally increasing complexity This paper proposes Agent (ASM) ASM Framework. combines in Business Management (BPM) context infer MAS operational real-world data, Framework maps activities different phases modeling lifecycle. The also discusses benefits using outlines challenges associated implementation