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  1. Combining totalitarian and Ceteris Paribus semantics in database preference queries.Rui da Silva Neves & Souhila Kaci - 2010 - Logic Journal of the IGPL 18 (3):464-483.
    Preference queries from databases aim to retrieve the best answers w.r.t. user's requirements. The integration of preferences in database queries has known many advances in the last decade. Most of works however are based on comparative preference statements obeying more or less strong semantics. Representing and reasoning about comparative preference statements has also been widely investigated in Artificial Intelligence. In this paper, we bridge the two frameworks and develop a simple and unified framework to reason about preferences in database queries. (...)
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  • Impediments to universal preference-based default theories.Jon Doyle & Michael P. Wellman - 1991 - Artificial Intelligence 49 (1-3):97-128.
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  • Everything Else Being Equal: A Modal Logic for Ceteris Paribus Preferences.Johan Van Benthem, Patrick Girard & Olivier Roy - 2009 - Journal of Philosophical Logic 38 (1):83 - 125.
    This paper presents a new modal logic for ceteris paribus preferences understood in the sense of "all other things being equal". This reading goes back to the seminal work of Von Wright in the early 1960's and has returned in computer science in the 1990' s and in more abstract "dependency logics" today. We show how it differs from ceteris paribus as "all other things being normal", which is used in contexts with preference defeaters. We provide a semantic analysis and (...)
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  • Dynamic logic of preference upgrade.Johan van Benthem & Fenrong Liu - 2007 - Journal of Applied Non-Classical Logics 17 (2):157-182.
    Statements not only update our current knowledge, but also have other dynamic effects. In particular, suggestions or commands ?upgrade' our preferences by changing the current order among worlds. We present a complete logic of knowledge update plus preference upgrade that works with dynamic-epistemic-style reduction axioms. This system can model changing obligations, conflicting commands, or ?regret'. We then show how to derive reduction axioms from arbitrary definable relation changes. This style of analysis also has a product update version with preferences between (...)
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  • On the revision of preferences and rational inference processes.Michael Freund - 2004 - Artificial Intelligence 152 (1):105-137.
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  • Intransitivity of preferences.Amos Tversky - 1969 - Psychological Review 76 (1):31-48.
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  • Nonmonotonic reasoning, preferential models and cumulative logics.Sarit Kraus, Daniel Lehmann & Menachem Magidor - 1990 - Artificial Intelligence 44 (1-2):167-207.
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  • Algorithm for optimal winner determination in combinatorial auctions.Tuomas Sandholm - 2002 - Artificial Intelligence 135 (1-2):1-54.
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  • Everything Else Being Equal: A Modal Logic for Ceteris Paribus Preferences.Benthem Johan, Girard Patrick & Roy Olivier - 2009 - Journal of Philosophical Logic 38 (1):83-125.
    This paper presents a new modal logic for ceteris paribus preferences understood in the sense of “all other things being equal”. This reading goes back to the seminal work of Von Wright in the early 1960’s and has returned in computer science in the 1990’s and in more abstract “dependency logics” today. We show how it differs from ceteris paribus as “all other things being normal”, which is used in contexts with preference defeaters. We provide a semantic analysis and several (...)
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  • Reasoning about preferences in argumentation frameworks.Sanjay Modgil - 2009 - Artificial Intelligence 173 (9-10):901-934.
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  • (1 other version)What does a conditional knowledge base entail?Daniel Lehmann & Menachem Magidor - 1992 - Artificial Intelligence 55 (1):1-60.
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  • Label ranking by learning pairwise preferences.Eyke Hüllermeier, Johannes Fürnkranz, Weiwei Cheng & Klaus Brinker - 2008 - Artificial Intelligence 172 (16-17):1897-1916.
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  • A new semantical approach to the logic of preference.Sven Ove Hansson - 1989 - Erkenntnis 31 (1):1 - 42.
    A possible world semantics for preference is developed. The remainder operator () is used to give precision to the notion that two states of the world are as similar as possible, given a specified difference between them. A general structure is introduced for preference relations between states of affairs, and three types of such preference relations are defined. It is argued that one of them, actual preference, corresponds closely to the concept of preference in informal discourse. Its logical properties are (...)
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  • Qualitative decision theory with preference relations and comparative uncertainty: An axiomatic approach.Didier Dubois, Hélène Fargier & Patrice Perny - 2003 - Artificial Intelligence 148 (1-2):219-260.
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  • Corrigendum to “Qualitative decision theory with preference relations and comparative uncertainty: an axiomatic approach” [Artificial Intelligence 148 (1–2) (2003) 219–260]. [REVIEW]Didier Dubois, Hélène Fargier & Patrice Perny - 2007 - Artificial Intelligence 171 (5-6):361-362.
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  • Arc consistency for soft constraints.Martin Cooper & Thomas Schiex - 2004 - Artificial Intelligence 154 (1-2):199-227.
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  • The complexity of soft constraint satisfaction.David A. Cohen, Martin C. Cooper, Peter G. Jeavons & Andrei A. Krokhin - 2006 - Artificial Intelligence 170 (11):983-1016.
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  • Answer Sets and Qualitative Decision Making.Gerhard Brewka - 2005 - Synthese 146 (1-2):171-187.
    Logic programs under answer set semantics have become popular as a knowledge representation formalism in Artificial Intelligence. In this paper we investigate the possibility of using answer sets for qualitative decision making. Our approach is based on an extension of the formalism, called logic programs with ordered disjunction (LPODs). These programs contain a new connective called ordered disjunction. The new connective allows us to represent alternative, ranked options for problem solutions in the heads of rules: A × B intuitively means: (...)
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  • Graphically structured value-function compilation.Ronen I. Brafman & Carmel Domshlak - 2008 - Artificial Intelligence 172 (2-3):325-349.
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  • Nonmonotonic reasoning, conditional objects and possibility theory.Salem Benferhat, Didier Dubois & Henri Prade - 1997 - Artificial Intelligence 92 (1-2):259-276.
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  • Logical representation and fusion of prioritized information based on guaranteed possibility measures: Application to the distance-based merging of classical bases.Salem Benferhat & Souhila Kaci - 2003 - Artificial Intelligence 148 (1-2):291-333.
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