Given graphs as input, Graph Neural Networks (GNNs) support the inferenc...
We introduce stochastic decision Petri nets (SDPNs), which are a form of...
This volume contains the post-proceedings of the Thirteenth Internationa...
Automated social behaviour analysis of mice has become an increasingly
p...
Adaptive networks model social, physical, technical, or biological syste...
In modelling complex systems with graph grammars (GGs), it is convenient...
This paper exploits extended Bayesian networks for uncertainty reasoning...
In the semantics of stochastic rewriting systems (SRSs) based on rule
al...
The paper summarises the contributions in a session at GCM 2019 presenti...
The paper extends Bayesian networks (BNs) by a mechanism for dynamic cha...
The design of agent-based models (ABMs) is often ad-hoc when it comes to...