The special session entitled AI–driven methods for Multimodal Networks and Processes Modeling (AIMPM 2023) is a forum that will share ideas, projects, researches results, models, experiences, applications etc. associated with artificial intelligence solutions for different multimodal networks born problems (arising in transportation, telecommunication, manufacturing and other kinds of logistic systems). The session will be held in Guimarães (Portugal) as the part of the 20th International Symposium Distributed Computing and Artificial Intelligence 2023.
Recently a number of researchers involved in research on analysis and synthesis of Multimodal Networks devote their efforts to modeling different, real-life systems. The generic approaches based on the AI methods, highly developed in recent years, allow to integrate and synchronize different modes from different areas concerning: the transportation processes synchronization with concurrent manufacturing and cash ones or traffic flow congestion management in wireless mesh and ad hoc networks as well as an integration of different transportations networks (buses, rails, subway) with logistic processes of different character and nature (e.g., describing the overcrowded streams of people attending the mass sport and/or music performance events in the context of available holiday or daily traffic services routine). Due to the above mentioned reasons the aim of the workshop is to provide a platform for discussion about the new solutions (regarding models, methods, knowledge representations, etc.) that might be applied in that domain. There is a number of emerging issues with big potential for methods of artificial intelligence (evolutionary algorithms, artificial neural networks, constraint programming, constraint logic programming, data-driven programming, answer set programming, hybrid methods - AI/OR-Operation Research, fuzzy sets) like:
- multimodal processes management,
- modeling and planning production flow,
- production planning and scheduling,
- stochastic models in planning and controlling,
- simulation of discrete manufacturing system,
- supply chain management,
- mesh-like data network control,
- multimodal social networks,
- intelligent transport and passenger and vehicle routing,
- security of multimodal systems,
- network knowledge modeling,
- intelligent web mining & applications.
- business multimodal processes and projects planning.
Contributions containing of both: the theoretical and practical results obtained in this area are welcome.
- Paweł Sitek, Kielce University of Technology (Poland)
- Grzegorz Bocewicz, Koszalin University of Technology (Poland)
- Izabela E. Nielsen, Aalborg University (Denmark)
- Peter Nielsen, Aalborg University (Denmark)
- Zbigniew Banaszak, Koszalin University of Technology (Poland)
- Robert Wójcik, Wrocław University of Technology (Poland)
- Jarosław Wikarek, , Kielce University of Technology (Poland)
- Arkadiusz Gola, Lublin University of Technology (Poland)
- Mukund Nilakantan Janardhanan, University of Leicester (UK)
- Tomasz Michno, Kielce University of Technology (Poland)
- Adam Krechowicz, Kielce University of Technology (Poland)
Paweł Sitek, Ph.D., D.Sc., Eng.
Assistant Professor at the
Department of Electrical Engineering, Automatic Control and Computer Science
Kielce University of Technology
Al.1000-PP 7, 25-314 Kielce, Poland
Grzegorz Bocewicz, Ph.D., D.Sc., Eng.
Associate Professor at the
Department of Electronics and Computer Science
Koszalin University of Technology
Śniadeckich 2, 75-453 Koszalin, Poland
Izabela Ewa Nielsen, Ph.D., Eng.
Associate Professor at the
Department of Mechanical and Manufacturing Engineering
Fibigerstræde 16, Room 4105, 9220 Aalborg Ø, Denmark