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  1. “Adding Up” Reasons: Lessons for Reductive and Nonreductive Approaches.Shyam Nair - 2021 - Ethics 132 (1):38-88.
    How do multiple reasons combine to support a conclusion about what to do or believe? This question raises two challenges: How can we represent the strength of a reason? How do the strengths of multiple reasons combine? Analogous challenges about confirmation have been answered using probabilistic tools. Can reductive and nonreductive theories of reasons use these tools to answer their challenges? Yes, or more exactly: reductive theories can answer both challenges. Nonreductive theories, with the help of a result in confirmation (...)
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  • Deontic Logic and Ethics.Shyam Nair - forthcoming - In Gabbay, John Horty, Xavier Parent, Ron van der Meyden & Leon van der Torre (eds.), Handbook of Deontic Logic and Normative System, Volume 2. College Publications.
    Though there have been productive interactions between moral philosophers and deontic logicians, there has also been a tradition of neglecting the insights that the fields can offer one another. The most sustained interactions between moral philosophers and deontic logicians have notbeen systematic but instead have been scattered across a number of distinct and often unrelated topics. This chapter primarily focuses on three topics. First, we discuss the “actualism/possibilism” debate which, very roughly, concerns the relevance of what one will do at (...)
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  • Must Good Reasoning Satisfy Cumulative Transitivity?Shyam Nair - 2017 - Philosophy and Phenomenological Research 98 (1):123-146.
    There is consensus among computer scientists, logicians, and philosophers that good reasoning with qualitative beliefs must have the structural property of cumulative transitivity or, for short, cut. This consensus is typically explicitly argued for partially on the basis of practical and mathematical considerations. But the consensus is also implicit in the approach philosophers take to almost every puzzle about reasoning that involves multiple steps: philosophers typically assume that if each step in reasoning is acceptable considered on its own, the whole (...)
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  • Synchronization and cognitive carpentry: From systematic structuring to simple reasoning. E. Koerner - 1993 - Behavioral and Brain Sciences 16 (3):465-466.
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  • Logical Disagreement.Frederik J. Andersen - 2024 - Dissertation, University of St. Andrews
    While the epistemic significance of disagreement has been a popular topic in epistemology for at least a decade, little attention has been paid to logical disagreement. This monograph is meant as a remedy. The text starts with an extensive literature review of the epistemology of (peer) disagreement and sets the stage for an epistemological study of logical disagreement. The guiding thread for the rest of the work is then three distinct readings of the ambiguous term ‘logical disagreement’. Chapters 1 and (...)
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  • Informal Logic: A 'Canadian' Approach to Argument.Federico Puppo (ed.) - 2019 - Windsor, Canada: Windsor Studies in Argumentation.
    The informal logic movement began as an attempt to develop – and teach – an alternative logic which can account for the real life arguing that surrounds us in our daily lives – in newspapers and the popular media, political and social commentary, advertising, and interpersonal exchange. The movement was rooted in research and discussion in Canada and especially at the University of Windsor, and has become a branch of argumentation theory which intersects with related traditions and approaches (notably formal (...)
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  • The Logic of Reasons.Shyam Nair & John Horty - 2018 - In Daniel Star (ed.), The Oxford Handbook of Reasons and Normativity. New York, NY, United States of America: Oxford University Press. pp. 67-84.
    In this chapter, we begin by sketching in the broadest possible strokes the ideas behind two formal systems that have been introduced with to goal of explicating the ways in which reasons interact to support the actions and conclusions they do. The first of these is the theory of defeasible reasoning developed in the seminal work of Pollock; the second is a more recent theory due to Horty, which adapts and develops the default logic introduced by Reiter to provide an (...)
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  • Choosing Your Nonmonotonic Logic: A Shopper’s Guide.Ulf Hlobil - 2018 - In Pavel Arazim & Tomáš Lávička (eds.), The Logica Yearbook 2017. London: College Publications. pp. 109-123.
    The paper presents an exhaustive menu of nonmonotonic logics. The options are individuated in terms of the principles they reject. I locate, e.g., cumulative logics and relevance logics on this menu. I highlight some frequently neglected options, and I argue that these neglected options are particularly attractive for inferentialists.
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  • A bimodal simulation of defeasibility in the normative domain.Tomer Libal, Matteo Pascucci, Leendert van der Torre & Dov Gabbay - 2020 - In Tomer Libal, Matteo Pascucci, Leendert van der Torre & Dov Gabbay (eds.), Proceedings of FCR-2020. CEUR Workshop Proceedings. pp. 41-54.
    In the present work we illustrate how two sorts of defeasible reasoning that are fundamental in the normative domain, that is, reasoning about exceptions and reasoning about violations, can be simulated via monotonic propositional theories based on a bimodal language with primitive operators representing knowledge and obligation. The proposed theoretical framework paves the way to using native theorem provers for multimodal logic, such as MleanCoP, in order to automate normative reasoning.
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  • Adaptively applying modus ponens in conditional logics of normality.Christian Straßer - 2012 - Journal of Applied Non-Classical Logics 22 (1):125-148.
    This paper presents an adaptive logic enhancement of conditional logics of normality that allows for defeasible applications of Modus Ponens to conditionals. In addition to the possibilities these logics already offer in terms of reasoning about conditionals, this way they are enriched by the ability to perform default inferencing. The idea is to apply Modus Ponens defeasibly to a conditional and a fact on the condition that it is ‘safe' to do so concerning the factual and conditional knowledge at hand. (...)
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  • Mundane reasoning by settling on a plausible model.Mark Derthick - 1990 - Artificial Intelligence 46 (1-2):107-157.
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  • Uniform semantic treatment of default and autoepistemic logics.Marc Denecker, Victor W. Marek & Mirosław Truszczyński - 2003 - Artificial Intelligence 143 (1):79-122.
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  • Inductive situation calculus.Marc Denecker & Eugenia Ternovska - 2007 - Artificial Intelligence 171 (5-6):332-360.
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  • 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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  • Non monotonic reasoning and belief revision: syntactic, semantic, foundational and coherence approaches.Alvaro del Val - 1997 - Journal of Applied Non-Classical Logics 7 (1-2):213-240.
    ABSTRACT The major approaches to belief revision and non monotonic reasoning proposed in the literature differ along a number of dimensions, including whether they are “syntax- based” or “semantic-based”, “foundational” or “coherentist”, “consistence-restoring” or “inconsistency-tolerant”. Our contribution towards clarifying the connections between these various approaches is threefold: •We show that the two main approaches to belief revision, the foundations and coherence theories, are mathematically equivalent, thus answering a question left open in [Gar90, Doy92], The distinction between syntax-based approaches to revision (...)
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  • Guest Editors’ Introduction.James Delgrande & Jérôme Lang - 2015 - Journal of Philosophical Logic 44 (2):111-115.
    This special issue presents a selection of papers in Knowledge Representation in Artificial Intelligence , intended to illustrate the depth and breadth of current research in the area. It comes just over 25 years since a similar special issue of the Journal of Philosophical Logic appeared on the topic Philosophical Logic and Artificial Intelligence [15]. This latter special issue covered work addressing the use of logic, in one form or another, for representing and reasoning with knowledge. The papers of the (...)
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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 first-order conditional logic for prototypical properties.James P. Delgrande - 1987 - Artificial Intelligence 33 (1):105-130.
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  • A consistency-based approach for belief change.James P. Delgrande & Torsten Schaub - 2003 - Artificial Intelligence 151 (1-2):1-41.
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  • Alternative approaches to default logic.James P. Delgrande, Torsten Schaub & W. Ken Jackson - 1994 - Artificial Intelligence 70 (1-2):167-237.
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  • An approach to default reasoning based on a first-order conditional logic: Revised report.James P. Delgrande - 1988 - Artificial Intelligence 36 (1):63-90.
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  • Problem solving with the ATMS.Johan de Kleer - 1986 - Artificial Intelligence 28 (2):197-224.
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  • Extending the ATMS.Johan de Kleer - 1986 - Artificial Intelligence 28 (2):163-196.
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  • An assumption-based TMS.Johan de Kleer - 1986 - Artificial Intelligence 28 (2):127-162.
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  • Learning to plan in continuous domains.Gerald F. DeJong - 1994 - Artificial Intelligence 65 (1):71-141.
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  • Making a middling mousetrap.Michael R. W. Dawson & Istvan Berkeley - 1993 - Behavioral and Brain Sciences 16 (3):454-455.
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  • Introduction: Progress in formal commonsense reasoning.Ernest Davis & Leora Morgenstern - 2004 - Artificial Intelligence 153 (1-2):1-12.
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  • How does a box work? A study in the qualitative dynamics of solid objects.Ernest Davis - 2011 - Artificial Intelligence 175 (1):299-345.
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  • On the logic of iterated belief revision.Adnan Darwiche & Judea Pearl - 1997 - Artificial Intelligence 89 (1-2):1-29.
    We show in this paper that the AGM postulates are too weak to ensure the rational preservation of conditional beliefs during belief revision, thus permitting improper responses to sequences of observations. We remedy this weakness by proposing four additional postulates, which are sound relative to a qualitative version of probabilistic conditioning. Contrary to the AGM framework, the proposed postulates characterize belief revision as a process which may depend on elements of an epistemic state that are not necessarily captured by a (...)
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  • Classical logic, argument and dialectic.M. D'Agostino & S. Modgil - 2018 - Artificial Intelligence 262:15-51.
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  • A logical calculus for controlled monotonicity.Marcello D'Agostino, Mario Piazza & Gabriele Pulcini - 2014 - Journal of Applied Logic 12 (4):558-569.
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  • Freedom and Enforcement in Action: A Study in Formal Action Theory.Janusz Czelakowski - 2015 - Dordrecht, Netherland: Springer.
    Situational aspects of action are discussed. The presented approach emphasizes the role of situational contexts in which actions are performed. These contexts influence the course of an action; they are determined not only by the current state of the system but also shaped by other factors as time, the previously undertaken actions and their succession, the agents of actions and so on. The distinction between states and situations is explored from the perspective of action systems. The notion of a situational (...)
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  • Outline of a Theory of Reasons.Vincenzo Crupi & Andrea Iacona - 2023 - Philosophical Quarterly 73 (1):117-142.
    This paper investigates the logic of reasons. Its aim is to provide an analysis of the sentences of the form ‘p is a reason for q’ that yields a coherent account of their logical properties. The idea that we will develop is that ‘p is a reason for q’ is acceptable just in case a suitably defined relation of incompatibility obtains between p and ¬q. As we will suggest, a theory of reasons based on this idea can solve three challenging (...)
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  • Nonmonotonic Inconsistency.Charles B. Cross - 2003 - Artificial Intelligence 149 (2):161-178.
    Nonmonotonic consequence is the subject of a vast literature, but the idea of a nonmonotonic counterpart of logical inconsistency—the idea of a defeasible property representing internal conflict of an inductive or evidential nature—has been entirely neglected. After considering and dismissing two possible analyses relating nonmonotonic consequence and a nonmonotonic counterpart of logical inconsistency, this paper offers a set of postulates for nonmonotonic inconsistency, an analysis of nonmonotonic inconsistency in terms of nonmonotonic consequence, and a series of results showing that nonmonotonic (...)
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  • From symbols to neurons: Are we there yet?Garrison W. Cottrell - 1993 - Behavioral and Brain Sciences 16 (3):454-454.
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  • The logical style painting classifier based on Horn clauses and explanations.Vicent Costa, Pilar Dellunde & Zoe Falomir - 2021 - Logic Journal of the IGPL 29 (1):96-119.
    This paper presents a logical Style painting classifier based on evaluated Horn clauses, qualitative colour descriptors and Explanations. Three versions of $\ell $-SHE are defined, using rational Pavelka logic, and expansions of Gödel logic and product logic with rational constants: RPL, $G$ and $\sqcap $, respectively. We introduce a fuzzy representation of the more representative colour traits for the Baroque, the Impressionism and the Post-Impressionism art styles. The $\ell $-SHE algorithm has been implemented in Swi-Prolog and tested on 90 paintings (...)
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  • Rationality and Value: The Epistemological Role of Indeterminate and Agent-dependent Values.Horacio Arló Costa - 2006 - Philosophical Studies 128 (1):7-48.
    An important trend in contemporary epistemology centers on elaborating an old idea of pragmatist pedigree: theory selection (and in general the process of changing view and fixing beliefs) presupposes epistemic values. This article focuses on analyzing the case where epistemic values are indeterminate or when the sources of valuation are multiple (epistemic values like coherence and simplicity need not order options in compatible ways). According to the theory that thus arises epistemic alternatives need not be fully ordered by an underlying (...)
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  • Could static binding suffice?Paul R. Cooper - 1993 - Behavioral and Brain Sciences 16 (3):453-454.
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  • Propositional and predicate logics of incomplete information.Marco Console, Paolo Guagliardo & Leonid Libkin - 2022 - Artificial Intelligence 302 (C):103603.
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  • The Logic of Plausible Reasoning: A Core Theory.Allan Collins & Ryszard Michalski - 1989 - Cognitive Science 13 (1):1-49.
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  • Heuristics, justification, and defeasible reasoning.Timothy R. Colburn - 1995 - Minds and Machines 5 (4):467-487.
    Heuristics can be regarded as justifying the actions and beliefs of problem-solving agents. I use an analysis of heuristics to argue that a symbiotic relationship exists between traditional epistemology and contemporary artificial intelligence. On one hand, the study of models of problem-solving agents usingquantitative heuristics, for example computer programs, can reveal insight into the understanding of human patterns of epistemic justification by evaluating these models'' performance against human problem-solving. On the other hand,qualitative heuristics embody the justifying ability of defeasible rules, (...)
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  • Defeasible reasoning and logic programming.Timothy R. Colburn - 1991 - Minds and Machines 1 (4):417-436.
    The general conditions of epistemic defeat are naturally represented through the interplay of two distinct kinds of entailment, deductive and defeasible. Many of the current approaches to modeling defeasible reasoning seek to define defeasible entailment via model-theoretic notions like truth and satisfiability, which, I argue, fails to capture this fundamental distinction between truthpreserving and justification-preserving entailments. I present an alternative account of defeasible entailment and show how logic programming offers a paradigm in which the distinction can be captured, allowing for (...)
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  • Notions of sameness by default and their application to anaphora, vagueness, and uncertain reasoning.Ariel Cohen, Michael Kaminski & Johann A. Makowsky - 2008 - Journal of Logic, Language and Information 17 (3):285-306.
    We motivate and formalize the idea of sameness by default: two objects are considered the same if they cannot be proved to be different. This idea turns out to be useful for a number of widely different applications, including natural language processing, reasoning with incomplete information, and even philosophical paradoxes. We consider two formalizations of this notion, both of which are based on Reiter’s Default Logic. The first formalization is a new relation of indistinguishability that is introduced by default. We (...)
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  • Indiscriminability as Indiscernibility by Default.Ariel Cohen - 2008 - Studia Logica 90 (3):369-383.
    Most solutions to the sorites reject its major premise, i.e. the quantified conditional . This rejection appears to imply a discrimination between two elements that are supposed to be indiscriminable. Thus, the puzzle of the sorites involves in a fundamental way the notion of indiscriminability. This paper analyzes this relation and formalizes it, in a way that makes the rejection of the major premise more palatable. The intuitive idea is that we consider two elements indiscriminable by default, i.e. unless we (...)
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  • Non-prioritized ranked belief change.Samir Chopra, Aditya Ghose & Thomas Meyer - 2003 - Journal of Philosophical Logic 32 (4):417-443.
    Traditional accounts of belief change have been criticized for placing undue emphasis on the new belief provided as input. A recent proposal to address such issues is a framework for non-prioritized belief change based on default theories (Ghose and Goebel, 1998). A novel feature of this approach is the introduction of disbeliefs alongside beliefs which allows for a view of belief contraction as independently useful, instead of just being seen as an intermediate step in the process of belief revision. This (...)
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  • On the Transitivity of Logical Consequence without Assuming Monotonicity.Lin Chen & Xuefeng Wen - forthcoming - Logica Universalis:1-16.
    We generalize Ripley’s results on the transitivity of consequence relation, without assuming a logic to be monotonic. Following Gabbay, we assume nonmonotonic consequence relation to be inclusive and cautious monotonic, and figure out the implications between different forms of transitivity of logical consequence. Weaker frameworks without inclusiveness or cautious monotonicity are also discussed. The paper may provide basis for the study of both non-transitive logics and nonmonotonic ones.
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  • The rational analysis of mind and behavior.Nick Chater & Mike Oaksford - 2000 - Synthese 122 (1-2):93-131.
    Rational analysis (Anderson 1990, 1991a) is an empiricalprogram of attempting to explain why the cognitive system isadaptive, with respect to its goals and the structure of itsenvironment. We argue that rational analysis has two importantimplications for philosophical debate concerning rationality. First,rational analysis provides a model for the relationship betweenformal principles of rationality (such as probability or decisiontheory) and everyday rationality, in the sense of successfulthought and action in daily life. Second, applying the program ofrational analysis to research on human reasoning (...)
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  • Rational and mechanistic perspectives on reinforcement learning.Nick Chater - 2009 - Cognition 113 (3):350-364.
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