Torsten Schaub

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Martin GebserUniversity of Klagenfurt / Graz University of TechnologyVerified email at aau.at
Roland KaminskiUniversity of PotsdamVerified email at cs.uni-potsdam.de
Hans TompitsAssociate Professor of Computer Science, Vienna University of TechnologyVerified email at kr.tuwien.ac.at
Sven ThieleMax Planck Institut for Dynamics of Complex Technical SystemsVerified email at mpi-magdeburg.mpg.de
Pedro CabalarUniversity of A CoruñaVerified email at udc.es
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaVerified email at cs.rwth-aachen.de
Tomi JanhunenTampere University, FinlandVerified email at tuni.fi
Anne SiegelResearch Director, CNRS, IRISA (Rennes, France)Verified email at irisa.fr
Marius LindauerLeibniz University Hannover (Germany)Verified email at tnt.uni-hannover.de
Nicola LeoneUniversity of Calabria, Professor of Computer ScienceVerified email at unical.it
Kewen WangGriffith UniversityVerified email at griffith.edu.au
Benjamin AndresUniversity PotsdamVerified email at cs.uni-potsdam.de
Christian HaubeltProfessor of Embedded Systems, University of Rostock, GermanyVerified email at uni-rostock.de
Gerhard BrewkaProfessor of Computer Science, Leipzig UniversityVerified email at informatik.uni-leipzig.de
Tran Cao SonProfessor of Computer Science, New Mexico State UniversityVerified email at cs.nmsu.edu
Anthony HunterProfessor of Artificial Intelligence, University College LondonVerified email at cs.ucl.ac.uk
Robert E MercerProfessor of Computer Science, The University of Western OntarioVerified email at csd.uwo.ca
Vladimir LifschitzUniversity of Texas at AustinVerified email at cs.utexas.edu
Miroslaw TruszczynskiProfessor of Computer Science, University of KentuckyVerified email at cs.uky.edu
Leopoldo BertossiProf. of Computer Science, Carleton University, Ottawa, CanadaVerified email at scs.carleton.ca

Torsten Schaub

University of Potsdam

Verified email at cs.uni-potsdam.de - Homepage

Artificial Intelligence Knowledge Representation and Reasoning Answer Set Programming


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Conflict-driven answer set solving: From theory to practice M Gebser, B Kaufmann, T Schaub Artificial Intelligence 187, 52-89, 2012	825	2012
Answer set solving in practice M Gebser, R Kaminski, B Kaufmann, T Schaub Synthesis lectures on artificial intelligence and machine learning 6 (3), 1-238, 2012	574	2012
Potassco: The Potsdam answer set solving collection M Gebser, B Kaufmann, R Kaminski, M Ostrowski, T Schaub, M Schneider Ai Communications 24 (2), 107-124, 2011	547	2011
clasp: A conflict-driven answer set solver M Gebser, B Kaufmann, A Neumann, T Schaub International Conference on Logic Programming and Nonmonotonic Reasoning …, 2007	404	2007
Clingo= ASP+ control: Preliminary report M Gebser, R Kaminski, B Kaufmann, T Schaub arXiv preprint arXiv:1405.3694, 2014	327	2014
Gringo: A new grounder for answer set programming M Gebser, T Schaub, S Thiele International Conference on Logic Programming and Nonmonotonic Reasoning …, 2007	245	2007
Theory solving made easy with clingo 5 M Gebser, R Kaminski, B Kaufmann, M Ostrowski, T Schaub, P Wanko Technical Communications of the 32nd International Conference on Logic …, 2016	183	2016
Advances in gringo Series 3 M Gebser, R Kaminski, A König, T Schaub International Conference on Logic Programming and Nonmonotonic Reasoning …, 2011	177	2011
A framework for compiling preferences in logic programs JP Delgrande, T Schaub, H Tompits Theory and Practice of Logic Programming 3 (2), 129-187, 2003	165	2003
A classification and survey of preference handling approaches in nonmonotonic reasoning J Delgrande, T Schaub, H Tompits, K Wang Computational Intelligence 20 (2), 308-334, 2004	159	2004
Introduction to inconsistency tolerance L Bertossi, A Hunter, T Schaub Inconsistency Tolerance, 1-14, 2005	155	2005
Engineering an incremental ASP solver M Gebser, R Kaminski, B Kaufmann, M Ostrowski, T Schaub, S Thiele International Conference on Logic Programming, 190-205, 2008	154	2008
Constraint answer set solving M Gebser, M Ostrowski, T Schaub International Conference on Logic Programming, 235-249, 2009	143	2009
Alternative approaches to default logic JP Delgrande, T Schaub, WK Jackson Artificial Intelligence 70 (1-2), 167-237, 1994	140	1994
ASP-Core-2: Input language format F Calimeri, W Faber, M Gebser, G Ianni, R Kaminski, T Krennwallner, ... ASP Standardization Working Group, 2012	134	2012
Wissensrepräsentation und Inferenz: eine grundlegende Einführung W Bibel, S Hölldobler, T Schaub Springer-Verlag, 2013	131	2013
A user’s guide to gringo, clasp, clingo, and iclingo M Gebser, R Kaminski, B Kaufmann, M Ostrowski, T Schaub, S Thiele	126	2008
Autofolio: An automatically configured algorithm selector M Lindauer, HH Hoos, F Hutter, T Schaub Journal of Artificial Intelligence Research 53, 745-778, 2015	119	2015
The first answer set programming system competition M Gebser, L Liu, G Namasivayam, A Neumann, T Schaub, M Truszczyński International Conference on Logic Programming and Nonmonotonic Reasoning, 3-17, 2007	117	2007
Multi-shot ASP solving with clingo M Gebser, R Kaminski, B Kaufmann, T Schaub Theory and Practice of Logic Programming 19 (1), 27-82, 2019	113	2019

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