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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
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Compositional Discovery of Workflow Nets from Event Logs Using Morphisms

P. 23–38.
Bernardinello L., Irina Lomazova, Roman Nesterov, Pomello L.

This paper presents a modular approach to discover process models for multi-agent systems from event logs. System event logs are filtered according to individual agent behavior. We discover workflow nets for each agent using existing process discovery algorithms. We consider asynchronous interactions among agents. Given a specification of an interaction protocol, we propose a general scheme of workflow net composition. By using morphisms, we prove that this composition preserves soundness of components. A quality evaluation shows the increase in the precision of models discovered by the proposed approach.

Language: English
Text on another site
Keywords: Petri netsmulti-agent systemscompositionworkflow netsprocess discoverymorphisms
Publication based on the results of:
Modeling of information systems and analysis of their behavior on the basis of the event history (2018)

In book

Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2018
Vol. 2115: CEUR Workshop Proceedings. , CEUR-WS.org, 2018.
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