Abstract
Process mining offers various tools for studying process-aware information systems. They mainly involve several participants (or agents) managing and executing operations on the basis of process models. To reveal the actual behavior of agents, we can use process discovery. However, for large-scale processes, it does not yield models, which help understand how agents interact since they are independent and their concurrent implementation can lead to a very sophisticated behavior. To overcome this problem, we propose interface patterns, which allow getting models of multi-agent processes with a clearly identified agent behavior and interaction scheme as well. The correctness of patterns is provided via morphisms. We also conduct a preliminary experiment, results of which are highly competitive compared to the process discovery without interface patterns.
Highlights
Process mining is the relatively new direction in studying process-aware information systems
To support the compositional discovery of models from event logs generated by multi-agent systems, we assume a record of each action has a corresponding label of an agent implementing it
In our experiment we have discovered models of system and agents shown in previous subsections in accordance with options 1 and 4 and compared them using structural process discovery metrics
Summary
Process mining is the relatively new direction in studying process-aware information systems They include information systems managing and executing operational processes, which involve people, applications and information resources through process models [1]. Nesterov R.A., Lomazova I.A. Using Interface Patterns for Compositional Discovery of Distributed System Models. The underlying interactions among participants ( called agents) of process-aware information systems are intrinsically distributed multiagent systems. We compose agent models via interface patterns, which describe how they intercommunicate. This approach was presented at TMPA-2017 [2], the conference proceedings will be available later.
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