Rate transition systems (RTS) are a special kind of transition systems introduced for defining the stochastic behavior of processes and for associating continuous-time Markov chain...
Feature modeling is a notation and an approach for modeling commonality and variability in product families. In their basic form, feature models contain mandatory/optional feature...
Rule-based modelling is particularly effective for handling the highly combinatorial aspects of cellular signalling. The dynamics is described in terms of interactions between part...
Data-race freedom is a valuable safety property for multithreaded programs that helps with catching bugs, simplifying memory consistency model semantics, and verifying and enforci...
Joseph Devietti, Benjamin P. Wood, Karin Strauss, ...
A well-known framework by Fagin, Halpern, Moses and Vardi models knowledge-based agents as \Interpreted Systems". In this paper we analyse a particular class of interpreted sy...