Process models discovered from event logs of multi-agent systems may be complicated and unreadable. To overcome this problem, we suggest using a compositional approach. A system model is composed from agent models w.r.t. an interface. Morphisms guarantee that composition of correct models is correct. This study contributes to the practical implementation of the morphism-based compositional approach. We use interaction patterns to model typical interfaces. Experimental evaluation justifies the practical value of the compositional approach.
Nesterov, R., Lomazova, I. (2019). Asynchronous interaction patterns for mining multi-agent system models from event logs. Intervento presentato a: 2019 Modeling and Analysis of Complex Systems and Processes Workshop, MACSPro 2019, aut.
Asynchronous interaction patterns for mining multi-agent system models from event logs
Nesterov, R;
2019
Abstract
Process models discovered from event logs of multi-agent systems may be complicated and unreadable. To overcome this problem, we suggest using a compositional approach. A system model is composed from agent models w.r.t. an interface. Morphisms guarantee that composition of correct models is correct. This study contributes to the practical implementation of the morphism-based compositional approach. We use interaction patterns to model typical interfaces. Experimental evaluation justifies the practical value of the compositional approach.
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