A Petri Net Formalism to Study Systems at Different Scales Exploiting Agent-Based and Stochastic Simulations

M. Beccuti, P. Castagno, G. Franceschinis, M. Pennisi, S. Pernice

Risultato della ricerca: Capitolo in libro/report/atti di convegnoContributo a conferenzapeer review

Abstract

The recent technological advances in computer science have enabled the definition of new modeling paradigms that differ from the classical ones in describing the system in terms of its components or entities. Among them, Agent-Based Models (ABMs) are gaining more and more popularity thanks to their ability to capture emergent phenomena resulting from the interactions of individual entities. However, ABMs lack a formal definition and precisely defined semantics. To overcome this issue we propose a new method exploiting Petri Nets as a graphical meta-formalism for modeling a system from which an ABM model with clear and well-defined semantics can be automatically derived and simulated. We aim to define a framework, based on a PN formalism, in which a system can be efficiently studied through both Agent-Based Simulation and classical Stochastic one depending on the study goal.

Lingua originaleInglese
Titolo della pubblicazione ospitePerformance Engineering and Stochastic Modeling - 17th European Workshop, EPEW 2021, and 26th International Conference, ASMTA 2021, Proceedings
EditorPaolo Ballarini, Hind Castel, Ioannis Dimitriou, Mauro Iacono, Tuan Phung-Duc, Joris Walraevens
EditoreSpringer Science and Business Media Deutschland GmbH
Pagine22-43
Numero di pagine22
ISBN (stampa)9783030918248
DOI
Stato di pubblicazionePubblicato - 2021
Evento17th European Performance Engineering Workshop, EPEW 2021, and the 26th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2021 - Virtual, Online
Durata: 13 dic 202114 dic 2021

Serie di pubblicazioni

NomeLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13104 LNCS
ISSN (stampa)0302-9743
ISSN (elettronico)1611-3349

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???event.eventtypes.event.conference???17th European Performance Engineering Workshop, EPEW 2021, and the 26th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2021
CittàVirtual, Online
Periodo13/12/2114/12/21

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