COMPLEX REASON

The Parameterized Complexity of Reasoning Problems

 Coordinatore TECHNISCHE UNIVERSITAET WIEN 

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

 Nazionalità Coordinatore Austria [AT]
 Totale costo 1˙421˙130 €
 EC contributo 1˙421˙130 €
 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-2009-StG
 Funding Scheme ERC-SG
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-01-01   -   2014-12-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAET WIEN

 Organization address address: Karlsplatz 13
city: WIEN
postcode: 1040

contact info
Titolo: Dr.
Nome: Stefan
Cognome: Szeider
Email: send email
Telefono: ++43 58801 18405
Fax: ++43 58801 18493

AT (WIEN) hostInstitution 1˙421˙130.00
2    TECHNISCHE UNIVERSITAET WIEN

 Organization address address: Karlsplatz 13
city: WIEN
postcode: 1040

contact info
Titolo: Ms.
Nome: Katrin
Cognome: Seyr
Email: send email
Telefono: +43 1 58801 18425
Fax: +43 1 58801 18492

AT (WIEN) hostInstitution 1˙421˙130.00

Mappa


 Word cloud

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parameterized    real    algorithms    efficient    setting    complexity    world    groundbreaking    significant    reasoning    structural    problem   

 Obiettivo del progetto (Objective)

'Reasoning, to derive conclusions from facts, is a fundamental task in Artificial Intelligence, arising in a wide range of applications from Robotics to Expert Systems. The aim of this project is to devise new efficient algorithms for real-world reasoning problems and to get new insights into the question of what makes a reasoning problem hard, and what makes it easy. As key to novel and groundbreaking results we propose to study reasoning problems within the framework of Parameterized Complexity, a new and rapidly emerging field of Algorithms and Complexity. Parameterized Complexity takes structural aspects of problem instances into account which are most significant for empirically observed problem-hardness. Most of the considered reasoning problems are intractable in general, but the real-world context of their origin provides structural information that can be made accessible to algorithms in form of parameters. This makes Parameterized Complexity an ideal setting for the analysis and efficient solution of these problems. A systematic study of the Parameterized Complexity of reasoning problems that covers theoretical and empirical aspects is so far outstanding. This proposal sets out to do exactly this and has therefore a great potential for groundbreaking new results. The proposed research aims at a significant impact on the research culture by setting the grounds for a closer cooperation between theorists and practitioners.'

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