QUAREM

Quantitative Reactive Modeling

 Coordinatore Institute of Science and Technology Austria 

Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.

 Nazionalità Coordinatore Austria [AT]
 Totale costo 2˙326˙101 €
 EC contributo 2˙326˙101 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2010-AdG_20100224
 Funding Scheme ERC-AG
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-05-01   -   2016-04-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    Institute of Science and Technology Austria

 Organization address address: Am Campus 1
city: Klosterneuburg
postcode: 3400

contact info
Titolo: Ms.
Nome: Carla
Cognome: Mazuheli-Chibidziura
Email: send email
Telefono: +43 2243 9000 1038
Fax: +43 2243 9000 2000

AT (Klosterneuburg) hostInstitution 2˙326˙101.00
2    Institute of Science and Technology Austria

 Organization address address: Am Campus 1
city: Klosterneuburg
postcode: 3400

contact info
Titolo: Prof.
Nome: Thomas A.
Cognome: Henzinger
Email: send email
Telefono: +43 2243 9000 1038
Fax: +43 2243 9000 2000

AT (Klosterneuburg) hostInstitution 2˙326˙101.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

fitness    context    reactive    models    quantitative    theory   

 Obiettivo del progetto (Objective)

'The project aims to build and evaluate a theory of quantitative fitness measures for reactive models. Such a theory must strive to obtain quantitative generalizations of the paradigms that have been success stories in qualitative reactive modeling, such as compositionality, property-preserving abstraction, model checking, and synthesis. The theory will be evaluated not only in the context of hardware and software engineering, but also in the context of systems biology. In particular, we hope to use the quantitative reactive models and fitness measures developed in this project for testing hypotheses about the mechanisms behind data from biological experiments.'

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