Pôle MDSC (Modèles Discrets pour les Systèmes Complexes)
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  MDSC



Pôle MDSC (Modèles Discrets pour les Systèmes Complexes)

Publications du pôle déposées sur HAL

MDSC is centered on formal discrete models for complex systems.

MDSC studies the modelling of complex systems used in biology, physics, economy, computer science. . . Theoretical and formal methods are defined and developped on discrete modelling frameworks, to provide software tools and to solve difficult questions on current complex systems from the real world.
 
ACTUALITES MDSC
23 juin 2010: Journée du pôle

Journée du pôle de juin 2009

ACTIVITÉS DE RECHERCHE / RESEARCH ACTIVITIES :
Complex Systems and Discrete Dynamical Systems
The definitions of Complex Systems often involve a multitude of simple agents interacting locally; a complex global behavior emerges from these local interactions. These few ingredients (simple agents, local interactions, complex global behavior) are typical characteristics of a well-known framework for discrete dynamical systems, namely cellular automata (CA). [for more information, click here...] 		Bio-inspired Complex Systems
Bio-inspired complex systems fall within the field of complex systems and stochastic combinatorial optimization by metaheuristics. Our goal is to address such problems and the associated solving methods, such as evolutionary algorithms, simulated annealing, tabu search, etc., from the perspective of complex systems. [for more information, click here...]
Automata, languages, combinatorics, and logic
This research deals with formal languages and automata theory. We consider rational languages of infinite words which are recognized by Büchi and Muller automata. An ω-language can be obtained from a classical formal language by the application to its words of the operation of infinite concatenation denoted .ω. [for more information, click here...] 		3D biological modeling and cellular automata
All biological network models are based on a notion of state that is entirely defined by the concentration level of each considered biomolecule in the cell. Consequently the spatial arrangement of these molecules and the internal compartments delimited by membranes are ignored in these models. The best we can do is to introduce two different symbols for the same molecule, depending on the compartment where it resides, but the evolution rules become often ad hoc. [for more information, click here...]
Constraint based program verification
Verification is one of the most critical issues in the software engineering process. Numerous techniques ranging from formal proofs to testing methods have been used during the last years to verify the conformity of a program with its specification. Recently, constraint programming techniques have been used to generate test data. In this context, we investigated constraint-based bounded model checking and forward computations in Hoare Logic. [for more information, click here...] 		Constraints Techniques and Applications
Interval methods have shown their ability to locate and prove the existence of global optima in a safe and rigorous way. Unfortunately, these methods are rather slow. To boost interval methods, we developed new filtering techniques. We also investigated the capabilities of constraint programming over continous domains in rigorous global optimization, as well as in different applications. [for more information, click here...]
Formal methods applied to the dynamics of genetic networks
Interactions between genes govern deeply the behaviour of a cell but it is a fact that it would not be sufficient to study independently each interaction in order to “predict” the behaviour of a cell. Predictive models must address each biological function as the dynamics of a network of genes as a whole. The first rigorous models [for more information, click here...]


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