It is now well-known that the size of the model is the bottleneck when using model-based approaches to diagnose complex systems. To answer this problem, decentralized/distributed ...
Any order parameter quantifying the degree of organisation in a physical system can be studied in connection to source extraction algorithms. Independent component analysis (ICA) b...
EOOLT'2007 was the first edition of the ECOOP-EOOLT workshop. The workshop is intended to bring researchers associated with different equation-based object-oriented (EOO) mode...
A goal of computing and networking systems is to limit administrative requirements for users and operators. A technical systems should be able to configure itself as much as possi...
There have been significant advances on formal methods to verify complex systems recently. Nevertheless, these methods have not yet been accepted as a realistic alternative to the ...
Abstract- Complex systems techniques provide a powerful tool to study the emergent properties of networks of interacting genes. In this study we extract models of genetic regulator...
Complex systems are those systems composed of many, often very simple, interacting autonomous entities. Interactions between these entities give rise to behaviour and patterns at t...
New technologies have enabled students to become active participants in computational simulations of dynamic and complex systems (called Participatory Simulations), providing a &q...
Kylie A. Peppler, Joshua A. Danish, Benjamin Zaitl...
Creating ensembles of random but "realistic" topologies for complex systems is crucial for many tasks such as benchmark generation and algorithm analysis. In general, exp...