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. Fields of science natural sciencescomputer and information sciencesartificial intelligenceexpert systemsengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics Keywords Algorithms Complexity Programme(s) 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) Topic(s) ERC-SG-PE6 - ERC Starting Grant - Computer science and informatics Call for proposal ERC-2009-StG See other projects for this call Funding Scheme ERC-SG - ERC Starting Grant Host institution TECHNISCHE UNIVERSITAET WIEN EU contribution € 1 421 130,00 Address KARLSPLATZ 13 1040 Wien Austria See on map Region Ostösterreich Wien Wien Activity type Higher or Secondary Education Establishments Administrative Contact Katrin Seyr (Ms.) Principal investigator Stefan Szeider (Dr.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data Beneficiaries (1) Sort alphabetically Sort by EU Contribution Expand all Collapse all TECHNISCHE UNIVERSITAET WIEN Austria EU contribution € 1 421 130,00 Address KARLSPLATZ 13 1040 Wien See on map Region Ostösterreich Wien Wien Activity type Higher or Secondary Education Establishments Administrative Contact Katrin Seyr (Ms.) Principal investigator Stefan Szeider (Dr.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data
