The "Contraintes" group
investigates the theoretical foundations,
design, implementation and applications of
rule-based modeling languages and constraint solving techniques in two
main domains: combinatorial optimization and computational systems
biology. More generally in the later domain, Contraintes develops
formal methods for systems biology and investigates the tight
integration of in silico and in vivo approaches using
microfluidic and
synthetic biology techniques.
Our activity reports are available from the official INRIA Web page of Contraintes.
Contraintes is associated to the PhD
programs Sciences
Mathématiques
de
Paris
Centre
and Frontiers
in
Life
Sciences in Paris.
Contraintes is associated with Ron Weiss's Lab on
synthetic biology at MIT,
USA.
Members of Contraintes: François Fages (INRIA senior
research scientist, team leader) Stéphanie Aubin (INRIA assistant) Grégory
Batt (INRIA research scientist) Neda Saeedloei (INRIA post-doctorate) François Bertaux (PhD student, AMX, with EPI Bang) Past members: Guillaume Arnaud Research contracts:
ANR Avenir ICEBERG (coordinator) |
|
Software:BIOCHAM is a software environment for modeling biochemical systems, making simulations, performing static analyses and specifying behaviors in temporal logic.FO-CTL is a constraint solver for full First-Order Computation Tree Logic with linear arithmetic over the reals, FO-CTL(ℝlin), in Constrained Transition Systems. CHRat a modular version of Constraint Handling Rules with ask and tell Rules2CP a rule-based modelling language for constraint programming Older stuff: TCLP is a type checker for constraint logic programming. CLPGUI is a graphical user interface for constraint logic programming. GNU
Prolog RH is a version of GNU
Prolog
extended with attributed
variables, coroutines and CLP(R) constraints, developed by Rémy
Haemmerlé. ![]() Effect of
constraint propagation on the domains
of variables during search in a placement problem. Public seminar: programmeInternal web page |
Contraintes research topics belong to
the INRIA themes:
theme Programs,
Verification and Proofs domain Algorithmics,
Programming,
Software
and
Architecture,
and theme
Computational
Biology
and
Bioinformatics domain Computational
Sciences
for
Biology,
Medicine
and
the
Environment.
Last modified: 2012/02/14