Process Modeling for Multi-agent Systems from Events Logs

Student: Sofiia Barinova

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Systems Analysis and Mathematical Technologies (Master)

Year of Graduation: 2024

This work is devoted to modeling processes based on the event log. Process modeling methods were analyzed and approaches for automatic modeling in the case of multi-agent systems using user action logs were proposed. The proposed model has the form of a Bayesian network. The proposed methods were tested on the generated data and it was shown that taking into account the interaction of agents makes it possible to increase the accuracy of the next step. The work is of practical importance, because It allows you to identify the main paths of users on Internet platforms, employees of the enterprise and other agents and use the built models to identify bottlenecks, predict economic indicators and the impact of possible impacts on the system.

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