Łukasz Mikulski – författare

This book constitutes the refereed proceedings of the 16th International Conference on Reversible Computation, RC 2024, held in Torun, Poland, during July 4–5, 2024. The 10 full papers and 3 short papers included along with two invited papers in this book were carefully reviewed and selected from 18 submissions.

This book constitutes the proceedings of the 46th International Conference on Application and Theory of Petri Nets and Concurrency, PETRI NETS 2025, held in Paris, France, during June 22–27, 2025.The 21 full papers and 1 short paper included in this book were carefully reviewed and selected from 48 submissions. They deal with topics such as composition and synthesis; workflow nets; process mining; model checking; communication & concurrency; timed and stochastic Petri nets; etc. The proceedings also include one invited talk in full paper length.

Paradigms of Concurrency: Observations, Behaviours, and Systems - a Petri Net View - Ryszard Janicki (McMaster University, CA) Jetty Kleijn (Leiden University, NL) Maciej Koutny (Newcastle University, UK) Lukasz Mikulski (Nicolaus Copernicus University, PL) Concurrency can be studied at different yet consistent levels of abstraction: from individual behavioural observations via more abstract concurrent histories that can be represented by causality structures capturing invariant dependencies between executed actions, to system level constructs such as Petri nets or process algebra expressions. Histories can then be understood as sets of closely related observations. Depending on the nature of the observed relationships between executed actions involved in a single concurrent history, one may identify different concurrency paradigms underpinned by different kinds of causality structures such as partial orders. This book studies fundamental mathematical abstractions to capture and relate observations, histories, and systems. In particular, taking a Petri net view, we present system models fitting various concurrency paradigms and their associated causality structures.