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  1. Reasoning credulously and skeptically within a single extension.James P. Delgrande & Torsten Schaub - 2002 - Journal of Applied Non-Classical Logics 12 (2):259-285.
    Consistency-based approaches in nonmonotonic reasoning may be expected to yield multiple sets of default conclusions for a given default theory. Reasoning about such extensions is carried out at the meta-level. In this paper, we show how such reasoning may be carried out at the object level for a large class of default theories. Essentially we show how one can translate a default theory Δ, obtaining a second Δ', such that Δ has a single extension that encodes every extension of _. (...)
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  • On first-order conditional logics.James P. Delgrande - 1998 - Artificial Intelligence 105 (1-2):105-137.
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  • Expressing preferences in default logic.James P. Delgrande & Torsten Schaub - 2000 - Artificial Intelligence 123 (1-2):41-87.
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  • Compiling specificity into approaches to nonmonotonic reasoning.James P. Delgrande & Torsten H. Schaub - 1997 - Artificial Intelligence 90 (1-2):301-348.
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  • A formal analysis of relevance.James P. Delgrande & Francis Jeffry Pelletier - 1998 - Erkenntnis 49 (2):137-173.
    We investigate the notion of relevance as it pertains to ‘commonsense’, subjunctive conditionals. Relevance is taken here as a relation between a property (such as having a broken wing) and a conditional (such as birds typically fly). Specifically, we explore a notion of ‘causative’ relevance, distinct from ‘evidential’ relevance found, for example, in probabilistic approaches. A series of postulates characterising a minimal, parsimonious concept of relevance is developed. Along the way we argue that no purely logical account of relevance (even (...)
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  • Eliminating the fixed predicates from a circumscription.Johan de Kleer & Kurt Konolige - 1989 - Artificial Intelligence 39 (3):391-398.
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  • Diagnosing multiple faults.Johan de Kleer & Brian C. Williams - 1987 - Artificial Intelligence 32 (1):97-130.
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  • Learning to plan in continuous domains.Gerald F. DeJong - 1994 - Artificial Intelligence 65 (1):71-141.
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  • The expressive power of circumscription.Tom Costello - 1998 - Artificial Intelligence 104 (1-2):313-329.
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  • The epistemic basis of defeasible reasoning.Robert L. Causey - 1991 - Minds and Machines 1 (4):437-458.
    This article argues that: (i) Defeasible reasoning is the use of distinctive procedures for belief revision when new evidence or new authoritative judgment is interpolated into a system of beliefs about an application domain. (ii) These procedures can be explicated and implemented using standard higher-order logic combined with epistemic assumptions about the system of beliefs. The procedures mentioned in (i) depend on the explication in (ii), which is largely described in terms of a Prolog program, EVID, which implements a system (...)
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  • Is intractability of nonmonotonic reasoning a real drawback?Marco Cadoli, Francesco M. Donini & Marco Schaerf - 1996 - Artificial Intelligence 88 (1-2):215-251.
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  • An efficient method for eliminating varying predicates from a circumscription.Marco Cadoli, Thomas Eiter & Georg Gottlob - 1992 - Artificial Intelligence 54 (3):397-410.
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  • A logical expression of reasoning.Arthur Buchsbaum, Tarcisio Pequeno & Marcelino Pequeno - 2007 - Synthese 154 (3):431 - 466.
    A non-monotonic logic, the Logic of Plausible Reasoning (LPR), capable of coping with the demands of what we call complex reasoning, is introduced. It is argued that creative complex reasoning is the way of reasoning required in many instances of scientific thought, professional practice and common life decision taking. For managing the simultaneous consideration of multiple scenarios inherent in these activities, two new modalities, weak and strong plausibility, are introduced as part of the Logic of Plausible Deduction (LPD), a deductive (...)
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  • Qualitative choice logic.Gerhard Brewka, Salem Benferhat & Daniel Le Berre - 2004 - Artificial Intelligence 157 (1-2):203-237.
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  • A general framework for preferences in answer set programming.Gerhard Brewka, James Delgrande, Javier Romero & Torsten Schaub - 2023 - Artificial Intelligence 325 (C):104023.
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  • Unifying default reasoning and belief revision in a modal framework.Craig Boutilier - 1994 - Artificial Intelligence 68 (1):33-85.
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  • Épistémologie et intelligence artificielle.Yves Bouchard - 2020 - In André Lacroix (ed.), La philosophie pratique. Les Presses de l’Université de Laval. pp. 109-127.
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  • Explaining default intuitions using maximum entropy.Rachel A. Bourne - 2003 - Journal of Applied Logic 1 (3-4):255-271.
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  • On the logical properties of the nonmonotonic description logic DL N.P. A. Bonatti & L. Sauro - 2017 - Artificial Intelligence 248 (C):85-111.
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  • A new semantics for overriding in description logics.P. A. Bonatti, M. Faella, I. M. Petrova & L. Sauro - 2015 - Artificial Intelligence 222 (C):1-48.
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  • The importance of open and recursive circumscription.Philippe Besnard, Yves Moinard & Robert E. Mercer - 1989 - Artificial Intelligence 39 (2):251-262.
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  • Reasoning with minimal models: efficient algorithms and applications.Rachel Ben-Eliyahu-Zohary & Luigi Palopoli - 1997 - Artificial Intelligence 96 (2):421-449.
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  • An incremental algorithm for generating all minimal models.Rachel Ben-Eliyahu – Zohary - 2005 - Artificial Intelligence 169 (1):1-22.
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  • Value minimization in circumscription.China Baral, Alfredo Gabaldon & Alessandro Provetti - 1998 - Artificial Intelligence 102 (2):163-186.
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  • Formalizing narratives using nested circumscription.Chitta Baral, Alfredo Gabaldon & Alessandro Provetti - 1998 - Artificial Intelligence 104 (1-2):107-164.
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  • Nonmonotonic reasoning in the framework of situation calculus.Andrew B. Baker - 1991 - Artificial Intelligence 49 (1-3):5-23.
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  • Plausible reasoning: a first-order approach.Silvana Badaloni & Alberto Zanardo - 1996 - Journal of Applied Non-Classical Logics 6 (3):215-261.
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  • From statistical knowledge bases to degrees of belief.Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern & Daphne Koller - 1996 - Artificial Intelligence 87 (1-2):75-143.
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  • Reasoning with different levels of uncertainty.Ofer Arieli - 2003 - Journal of Applied Non-Classical Logics 13 (3):317-343.
    We introduce a family of preferential logics that are useful for handling information with different levels of uncertainty. The corresponding consequence relations are nonmonotonic, paraconsistent, adaptive, and rational. It is also shown that the formalisms in this family can be embedded in corresponding four-valued logics with at most three uncertainty levels, and that reasoning with these logics can be simulated by algorithms for processing circumscriptive theories, such as DLS and SCAN.
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  • A QBF-based formalization of abstract argumentation semantics.Ofer Arieli & Martin W. A. Caminada - 2013 - Journal of Applied Logic 11 (2):229-252.
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  • On the tractability of minimal model computation for some CNF theories.Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti & Luigi Palopoli - 2014 - Artificial Intelligence 210 (C):56-77.
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  • Graph-based construction of minimal models.Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti & Luigi Palopoli - 2022 - Artificial Intelligence 313 (C):103754.
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  • Logic-based subsumption architecture.Eyal Amir & Pedrito Maynard-Zhang - 2004 - Artificial Intelligence 153 (1-2):167-237.
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  • The Epistemology of Non-distributive Profiles.Patrick Allo - 2020 - Philosophy and Technology 33 (3):379-409.
    The distinction between distributive and non-distributive profiles figures prominently in current evaluations of the ethical and epistemological risks that are associated with automated profiling practices. The diagnosis that non-distributive profiles may coincidentally situate an individual in the wrong category is often perceived as the central shortcoming of such profiles. According to this diagnosis, most risks can be retraced to the use of non-universal generalisations and various other statistical associations. This article develops a top-down analysis of non-distributive profiles in which this (...)
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  • 極小限定を用いた帰納推論.井上 克巳 齋藤 悠 - 2006 - Transactions of the Japanese Society for Artificial Intelligence 21:143-152.
    We investigate induction from the viewpoint of nonmonotonic reasoning. Induction we consider in this paper is descriptive induction. Hypotheses from descriptive induction have the weak property that they only describe rules with respect to the observations and do not realize an inductive leap. In this paper, we define a new form of descriptive induction with circumscription and the idea of explanation and show two procedures for computing it. The new descriptive induction is called circumscriptive induction. By deciding the roles of (...)
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  • La philosophie pratique.André Lacroix (ed.) - 2020 - Les Presses de l’Université de Laval.
    Le projet philosophique puise ses sources dans la volonté de proposer une explication rationnelle des phénomènes naturels et culturels qui constituent le monde dans lequel l’être humain prend place. Il a servi de trame culturelle à l’Occident et amené le déploiement d’appareils conceptuels où l’on distingue théorie et pratique. On doit toutefois reconnaître qu’une philosophie théorique peut avoir une portée pratique et l’inverse, puisque toute pratique suppose un ancrage théorique pour légitimer la connaissance et les systèmes normatifs à partir desquels (...)
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  • Modeling Deep Disagreement in Default Logic.Frederik J. Andersen - forthcoming - Australasian Journal of Logic.
    Default logic has been a very active research topic in artificial intelligence since the early 1980s, but has not received as much attention in the philosophical literature thus far. This paper shows one way in which the technical tools of artificial intelligence can be applied in contemporary epistemology by modeling a paradigmatic case of deep disagreement using default logic. In §1 model-building viewed as a kind of philosophical progress is briefly motivated, while §2 introduces the case of deep disagreement we (...)
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  • Enciclopédia de Termos Lógico-Filosóficos.João Miguel Biscaia Branquinho, Desidério Murcho & Nelson Gonçalves Gomes (eds.) - 2006 - São Paulo, SP, Brasil: Martins Fontes.
    Esta enciclopédia abrange, de uma forma introdutória mas desejavelmente rigorosa, uma diversidade de conceitos, temas, problemas, argumentos e teorias localizados numa área relativamente recente de estudos, os quais tem sido habitual qualificar como «estudos lógico-filosóficos». De uma forma apropriadamente genérica, e apesar de o território teórico abrangido ser extenso e de contornos por vezes difusos, podemos dizer que na área se investiga um conjunto de questões fundamentais acerca da natureza da linguagem, da mente, da cognição e do raciocínio humanos, bem (...)
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  • Semantic linking through spaces for cyber-physical-socio intelligence: A methodology.Hai Zhuge - 2011 - Artificial Intelligence 175 (5-6):988-1019.
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  • A base logic for default reasoning.Beihai Zhou & Yi Mao - 2006 - Frontiers of Philosophy in China 1 (4):688-709.
    Based on a close study of benchmark examples in default reasoning, such as Nixon Diamond, Penguin Principle, etc., this paper provides an in depth analysis of the basic features of default reasoning. We formalize default inferences based on Modus Ponens for Default Implication, and mark the distinction between "local inferences"(to infer a conclusion from a subset of given premises) and "global inferences"(to infer a conclusion from the entire set of given premises). These conceptual analyses are captured by a formal semantics (...)
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  • Computational complexity of flat and generic Assumption-Based Argumentation, with and without probabilities.Kristijonas Čyras, Quentin Heinrich & Francesca Toni - 2021 - Artificial Intelligence 293 (C):103449.
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  • Using approximate reasoning to represent default knowledge.Ronald R. Yager - 1987 - Artificial Intelligence 31 (1):99-112.
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  • Exceptions to generics: Where vagueness, context dependence and modality interact.Yael Greenberg - 2007 - Journal of Semantics 24 (2):131-167.
    This paper deals with the exceptions-tolerance property of generic sentences with indefinite singular and bare plural subjects (IS and BP generics, respectively) and with the way this property is connected to some well-known observations about felicity differences between the two types of generics (e.g. Lawler's 1973, Madrigals are popular vs. #A madrigal is popular). I show that whereas both IS and BP generics tolerate exceptional and contextually irrelevant individuals and situations in a strikingly similar way, which indicates the existence of (...)
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  • XIV Latin American Symposium on Mathematical Logic.Itala Maria Loffredo D'Ottaviano - 2009 - Bulletin of Symbolic Logic 15 (3):332-376.
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  • A functional perspective on argumentation schemes.Adam Wyner - 2016 - Argument and Computation 7 (2-3):113-133.
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  • Embedding Logics in the Local Computation Framework.Nic Wilson & Jérôme Mengin - 2001 - Journal of Applied Non-Classical Logics 11 (3):239-267.
    The Local Computation Framework has been used to improve the efficiency of computation in various uncertainty formalisms. This paper shows how the framework can be used for the computation of logical deduction in two different ways; the first way involves embedding model structures in the framework; the second, and more direct, way involves embedding sets of formulae. This work can be applied to many of the logics developed for different kinds of reasoning, including predicate calculus, modal logics, possibilistic logics, probabilistic (...)
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  • Knowledge of counterfactual interventions through cognitive models of mechanisms.Jonathan Waskan - 2008 - International Studies in the Philosophy of Science 22 (3):259 – 275.
    Here I consider the relative merits of two recent models of explanation, James Woodward's interventionist-counterfactual model and the model model. According to the former, explanations are largely constituted by information about the consequences of counterfactual interventions. Problems arise for this approach because countless relevant interventions are possible in most cases and because it overlooks other kinds of equally relevant information. According the model model, explanations are largely constituted by cognitive models of actual mechanisms. On this approach, explanations tend not to (...)
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  • Intrinsic cognitive models.Jonathan A. Waskan - 2003 - Cognitive Science 27 (2):259-283.
    Theories concerning the structure, or format, of mental representation should (1) be formulated in mechanistic, rather than metaphorical terms; (2) do justice to several philosophical intuitions about mental representation; and (3) explain the human capacity to predict the consequences of worldly alterations (i.e., to think before we act). The hypothesis that thinking involves the application of syntax-sensitive inference rules to syntactically structured mental representations has been said to satisfy all three conditions. An alternative hypothesis is that thinking requires the construction (...)
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  • Defeasible reasoning and informal fallacies.Douglas Walton - 2011 - Synthese 179 (3):377 - 407.
    This paper argues that some traditional fallacies should be considered as reasonable arguments when used as part of a properly conducted dialog. It is shown that argumentation schemes, formal dialog models, and profiles of dialog are useful tools for studying properties of defeasible reasoning and fallacies. It is explained how defeasible reasoning of the most common sort can deteriorate into fallacious argumentation in some instances. Conditions are formulated that can be used as normative tools to judge whether a given defeasible (...)
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  • Assumption-based argumentation for extended disjunctive logic programming and its relation to nonmonotonic reasoning.Toshiko Wakaki - forthcoming - Argument and Computation:1-45.
    The motivation of this study is that Reiter’s default theory as well as assumption-based argumentation frameworks corresponding to default theories have difficulties in handling disjunctive information, while a disjunctive default theory (ddt) avoids them. This paper presents the semantic correspondence between generalized assumption-based argumentation (ABA) and extended disjunctive logic programming as well as the correspondence between ABA and nonmonotonic reasoning approaches such as disjunctive default logic and prioritized circumscription. To overcome the above-mentioned difficulties of ABA frameworks corresponding to default theories, (...)
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