37 found
Order:
  1.  25
    On the complexity of propositional knowledge base revision, updates, and counterfactuals.Thomas Eiter & Georg Gottlob - 1992 - Artificial Intelligence 57 (2-3):227-270.
  2.  20
    Combining answer set programming with description logics for the Semantic Web.Thomas Eiter, Giovambattista Ianni, Thomas Lukasiewicz, Roman Schindlauer & Hans Tompits - 2008 - Artificial Intelligence 172 (12-13):1495-1539.
  3.  15
    Preferred answer sets for extended logic programs.Gerhard Brewka & Thomas Eiter - 1999 - Artificial Intelligence 109 (1-2):297-356.
  4.  14
    Semi-equilibrium models for paracoherent answer set programs.Giovanni Amendola, Thomas Eiter, Michael Fink, Nicola Leone & João Moura - 2016 - Artificial Intelligence 234 (C):219-271.
  5.  19
    FLP answer set semantics without circular justifications for general logic programs.Yi-Dong Shen, Kewen Wang, Thomas Eiter, Michael Fink, Christoph Redl, Thomas Krennwallner & Jun Deng - 2014 - Artificial Intelligence 213 (C):1-41.
  6.  20
    A logic programming approach to knowledge-state planning, II: The system.Thomas Eiter, Wolfgang Faber, Nicola Leone, Gerald Pfeifer & Axel Polleres - 2003 - Artificial Intelligence 144 (1-2):157-211.
  7.  16
    Evaluating epistemic negation in answer set programming.Yi-Dong Shen & Thomas Eiter - 2016 - Artificial Intelligence 237 (C):115-135.
  8.  22
    Complexity results for structure-based causality.Thomas Eiter & Thomas Lukasiewicz - 2002 - Artificial Intelligence 142 (1):53-89.
  9.  15
    Default reasoning from conditional knowledge bases: Complexity and tractable cases.Thomas Eiter & Thomas Lukasiewicz - 2000 - Artificial Intelligence 124 (2):169-241.
  10.  26
    Finding explanations of inconsistency in multi-context systems.Thomas Eiter, Michael Fink, Peter Schüller & Antonius Weinzierl - 2014 - Artificial Intelligence 216 (C):233-274.
  11.  18
    Domain expansion for ASP-programs with external sources.Thomas Eiter, Michael Fink, Thomas Krennwallner & Christoph Redl - 2016 - Artificial Intelligence 233 (C):84-121.
  12.  24
    Updating action domain descriptions.Thomas Eiter, Esra Erdem, Michael Fink & Ján Senko - 2010 - Artificial Intelligence 174 (15):1172-1221.
  13.  13
    Semantics and complexity of abduction from default theories.Thomas Eiter, Georg Gottlob & Nicola Leone - 1997 - Artificial Intelligence 90 (1-2):177-223.
  14.  10
    Semantic forgetting in answer set programming.Thomas Eiter & Kewen Wang - 2008 - Artificial Intelligence 172 (14):1644-1672.
  15.  18
    LARS: A Logic-based framework for Analytic Reasoning over Streams.Harald Beck, Minh Dao-Tran & Thomas Eiter - 2018 - Artificial Intelligence 261 (C):16-70.
  16.  18
    Enhancing model checking in verification by AI techniques.Francesco Buccafurri, Thomas Eiter, Georg Gottlob & Nicola Leone - 1999 - Artificial Intelligence 112 (1-2):57-104.
  17.  18
    An efficient method for eliminating varying predicates from a circumscription.Marco Cadoli, Thomas Eiter & Georg Gottlob - 1992 - Artificial Intelligence 54 (3):397-410.
  18.  22
    Normal forms for second-order logic over finite structures, and classification of NP optimization problems.Thomas Eiter, Georg Gottlob & Yuri Gurevich - 1996 - Annals of Pure and Applied Logic 78 (1-3):111-125.
    We start with a simple proof of Leivant's normal form theorem for ∑11 formulas over finite successor structures. Then we use that normal form to prove the following:1. over all finite structures, every ∑21 formula is equivalent to a ∑21 formula whose first-order part is a Boolean combination of existential formulas, and2. over finite successor structures, the Kolaitis-Thakur hierarchy of minimization problems collapses completely and the Kolaitis-Thakur hierarchy of maximization problems collapses partially.The normal form theorem for ∑21 fails if ∑21 (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  19.  16
    Enhancing context knowledge repositories with justifiable exceptions.Loris Bozzato, Thomas Eiter & Luciano Serafini - 2018 - Artificial Intelligence 257 (C):72-126.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  20.  23
    aspmc: New frontiers of algebraic answer set counting.Thomas Eiter, Markus Hecher & Rafael Kiesel - 2024 - Artificial Intelligence 330 (C):104109.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  21.  16
    Causes and explanations in the structural-model approach: Tractable cases.Thomas Eiter & Thomas Lukasiewicz - 2006 - Artificial Intelligence 170 (6-7):542-580.
  22.  11
    Heterogeneous active agents, II: Algorithms and complexity.Thomas Eiter & V. S. Subrahmanian - 1999 - Artificial Intelligence 108 (1-2):257-307.
  23.  11
    Heterogeneous active agents, I: Semantics.Thomas Eiter, V. S. Subrahmanian & George Pick - 1999 - Artificial Intelligence 108 (1-2):179-255.
  24.  26
    Maintenance goals of agents in a dynamic environment: Formulation and policy construction.Chitta Baral, Thomas Eiter, Marcus Bjäreland & Mutsumi Nakamura - 2008 - Artificial Intelligence 172 (12-13):1429-1469.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  25.  15
    Inconsistency management for traffic regulations: formalization and complexity results.Harald Beck, Thomas Eiter & Thomas Krennwallner - 2012 - In Luis Farinas del Cerro, Andreas Herzig & Jerome Mengin, Logics in Artificial Intelligence. Springer. pp. 80--93.
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  26.  5
    Adaptive large-neighbourhood search for optimisation in answer-set programming.Thomas Eiter, Tobias Geibinger, Nelson Higuera Ruiz, Nysret Musliu, Johannes Oetsch, Dave Pfliegler & Daria Stepanova - 2024 - Artificial Intelligence 337 (C):104230.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  27.  21
    Computing intersections of Horn theories for reasoning with models.Thomas Eiter, Toshihide Ibaraki & Kazuhisa Makino - 1999 - Artificial Intelligence 110 (1):57-101.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  28.  18
    Complexity results for explanations in the structural-model approach.Thomas Eiter & Thomas Lukasiewicz - 2004 - Artificial Intelligence 154 (1-2):145-198.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  29.  21
    Data repair of inconsistent nonmonotonic description logic programs.Thomas Eiter, Michael Fink & Daria Stepanova - 2016 - Artificial Intelligence 239 (C):7-53.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  30.  17
    Heterogeneous active agents, III: Polynomially implementable agents.Thomas Eiter, V. S. Subrahmanian & T. J. Rogers - 2000 - Artificial Intelligence 117 (1):107-167.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  31.  24
    Model-based recasting in answer-set programming.Thomas Eiter, Michael Fink, Jörg Pührer, Hans Tompits & Stefan Woltran - 2013 - Journal of Applied Non-Classical Logics 23 (1-2):75-104.
    As is well known, answer-set programs do not satisfy the replacement property in general, i.e., programs and that are equivalent may cease to be so when they are put in the context of some other program, i.e., and may have different answer sets. Lifschitz, Pearce, and Valverde thus introduced strong equivalence for context-independent equivalence, and proved that such equivalence holds between given programs and iff and are equivalent theories in the monotonic logic of here-and-there. In this article, we consider a (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  32.  81
    On the expressiveness of frame satisfiability and fragments of second-order logic.Thomas Eiter & Georg Gottlob - 1998 - Journal of Symbolic Logic 63 (1):73-82.
    It was conjectured by Halpern and Kapron (Annals of Pure and Applied Logic, vol. 69, 1994) that frame satisfiability of propositional modal formulas is incomparable in expressive power to both Σ 1 1 (Ackermann) and Σ 1 1 (Bernays-Schonfinkel). We prove this conjecture. Our results imply that Σ 1 1 (Ackermann) and Σ 1 1 (Bernays-Schonfinkel) are incomparable in expressive power, already on finite graphs. Moreover, we show that on ordered finite graphs, i.e., finite graphs with a successor, Σ 1 (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark  
  33.  16
    Preface.Thomas Eiter & Domenico Lembo - 2005 - Journal of Applied Logic 3 (2):251-252.
  34.  15
    Pruning external minimality checking for answer set programs using semantic dependencies.Thomas Eiter & Tobias Kaminski - 2021 - Artificial Intelligence 290 (C):103402.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  35.  32
    Undoing the effects of action sequences.Thomas Eiter, Esra Erdem & Wolfgang Faber - 2008 - Journal of Applied Logic 6 (3):380-415.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  36.  21
    Abstraction for non-ground answer set programs.Zeynep G. Saribatur, Thomas Eiter & Peter Schüller - 2021 - Artificial Intelligence 300 (C):103563.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  37.  19
    Determining inference semantics for disjunctive logic programs.Yi-Dong Shen & Thomas Eiter - 2019 - Artificial Intelligence 277 (C):103165.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark