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  1. Judgement aggregation in non-classical logics.Daniele Porello - 2017 - Journal of Applied Non-Classical Logics 27 (1-2):106-139.
    This work contributes to the theory of judgement aggregation by discussing a number of significant non-classical logics. After adapting the standard framework of judgement aggregation to cope with non-classical logics, we discuss in particular results for the case of Intuitionistic Logic, the Lambek calculus, Linear Logic and Relevant Logics. The motivation for studying judgement aggregation in non-classical logics is that they offer a number of modelling choices to represent agents’ reasoning in aggregation problems. By studying judgement aggregation in logics that (...)
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  • AGM 25 Years: Twenty-Five Years of Research in Belief Change.Eduardo Fermé & Sven Ove Hansson - 2011 - Journal of Philosophical Logic 40 (2):295 - 331.
    The 1985 paper by Carlos Alchourrón (1931–1996), Peter Gärdenfors, and David Makinson (AGM), "On the Logic of Theory Change: Partial Meet Contraction and Revision Functions" was the starting-point of a large and rapidly growing literature that employs formal models in the investigation of changes in belief states and databases. In this review, the first twentyfive years of this development are summarized. The topics covered include equivalent characterizations of AGM operations, extended representations of the belief states, change operators not included in (...)
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  • How to resolve doxastic disagreement.Peter Brössel & Anna-Maria A. Eder - 2014 - Synthese 191 (11):2359-2381.
    How should an agent revise her epistemic state in the light of doxastic disagreement? The problems associated with answering this question arise under the assumption that an agent’s epistemic state is best represented by her degree of belief function alone. We argue that for modeling cases of doxastic disagreement an agent’s epistemic state is best represented by her confirmation commitments and the evidence available to her. Finally, we argue that given this position it is possible to provide an adequate answer (...)
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  • Revision operators with compact representations.Pavlos Peppas, Mary-Anne Williams & Grigoris Antoniou - 2024 - Artificial Intelligence 329 (C):104080.
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  • Morphologic for knowledge dynamics: revision, fusion and abduction.Isabelle Bloch, Jérôme Lang, Ramón Pino Pérez & Carlos Uzcátegui - 2023 - Journal of Applied Non-Classical Logics 33 (3):421-466.
    Several tasks in artificial intelligence require the ability to find models about knowledge dynamics. They include belief revision, fusion and belief merging, and abduction. In this paper, we exploit the algebraic framework of mathematical morphology in the context of propositional logic and define operations such as dilation or erosion of a set of formulas. We derive concrete operators, based on a semantic approach, that have an intuitive interpretation and that are formally well behaved, to perform revision, fusion and abduction. Computation (...)
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  • How to construct Remainder Sets for Paraconsistent Revisions: Preliminary Report.Rafael Testa, Eduardo Fermé, Marco Garapa & Maurício Reis - 2018 - 17th INTERNATIONAL WORKSHOP ON NON-MONOTONIC REASONING.
    Revision operation is the consistent expansion of a theory by a new belief-representing sentence. We consider that in a paraconsistent setting this desideratum can be accomplished in at least three distinct ways: the output of a revision operation should be either non-trivial or non-contradictory (in general or relative to the new belief). In this paper those distinctions will be explored in the constructive level by showing how the remainder sets could be refined, capturing the key concepts of paraconsistency in a (...)
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  • Geodesic merging.Konstantinos Georgatos - 2018 - Synthese 195 (10):4243-4264.
    We pursue an account of merging through the use of geodesic semantics, the semantics based on the length of the shortest path on a graph. This approach has been fruitful in other areas of belief change such as revision and update. To this end, we introduce three binary merging operators of propositions defined on the graph of their valuations and we characterize them with a finite set of postulates.
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  • Deliberation, judgement and the nature of evidence.Jon Williamson - 2015 - Economics and Philosophy 31 (1):27-65.
    :A normative Bayesian theory of deliberation and judgement requires a procedure for merging the evidence of a collection of agents. In order to provide such a procedure, one needs to ask what the evidence is that grounds Bayesian probabilities. After finding fault with several views on the nature of evidence, it is argued that evidence is whatever is rationally taken for granted. This view is shown to have consequences for an account of merging evidence, and it is argued that standard (...)
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  • Radical Pooling and Imprecise Probabilities.Ignacio Ojea Quintana - forthcoming - Erkenntnis:1-28.
    This paper focuses on radical pooling, or the question of how to aggregate credences when there is a fundamental disagreement about which is the relevant logical space for inquiry. The solution advanced is based on the notion of consensus as common ground, where agents can find it by suspending judgment on logical possibilities. This is exemplified with cases of scientific revolution. On a formal level, the proposal uses algebraic joins and imprecise probabilities; which is shown to be compatible with the (...)
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  • Impossibility in belief merging.Amílcar Mata Díaz & Ramón Pino Pérez - 2017 - Artificial Intelligence 251 (C):1-34.
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  • Judgement aggregation in scientific collaborations: The case for waiving expertise.Alexandru Marcoci & James Nguyen - 2020 - Studies in History and Philosophy of Science Part A 84:66-74.
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  • Belief merging in absence of reliability information.Paolo Liberatore - 2022 - Synthese 200 (4):1-42.
    Merging beliefs depends on the relative reliability of their sources. When this is information is absent, assuming equal reliability is unwarranted. The solution proposed in this article is that every reliability profile is possible, and only what holds according to all of them is accepted. Alternatively, one source is completely reliable, but which one is not specified. These two cases motivate two existing forms of merging: maxcons-based merging and disjunctive merging.
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  • Judgment aggregation and minimal change: a model of consensus formation by belief revision.Marcel Heidemann - 2018 - Theory and Decision 85 (1):61-97.
    When a group of agents attempts to reach an agreement on certain issues, it is usually desirable that the resulting consensus be as close as possible to the original judgments of the individuals. However, when these judgments are logically connected to further beliefs, the notion of closeness should also take into account to what extent the individuals would have to revise their entire belief set to reach an agreement. In this work, we present a model for generation of agreement with (...)
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  • Lifting integrity constraints in binary aggregation.Umberto Grandi & Ulle Endriss - 2013 - Artificial Intelligence 199-200 (C):45-66.
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  • Forgetting complex propositions.David Fernández–Duque, Ángel Nepomuceno–Fernández, Enrique Sarrión–Morrillo, Fernando Soler–Toscano & Fernando R. Velázquez–Quesada - 2015 - Logic Journal of the IGPL 23 (6):942-965.
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  • AGM 25 Years: Twenty-Five Years of Research in Belief Change.Eduardo Fermé & Sven Ove Hansson - 2011 - Journal of Philosophical Logic 40 (2):295-331.
    The 1985 paper by Carlos Alchourrón, Peter Gärdenfors, and David Makinson, “On the Logic of Theory Change: Partial Meet Contraction and Revision Functions” was the starting-point of a large and rapidly growing literature that employs formal models in the investigation of changes in belief states and databases. In this review, the first twenty-five years of this development are summarized. The topics covered include equivalent characterizations of AGM operations, extended representations of the belief states, change operators not included in the original (...)
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  • Merging operators on stratified belief bases equipped with argumentative inference.Marcelo A. Falappa, Alejandro J. García & Guillermo R. Simari - 2023 - Journal of Applied Non-Classical Logics 33 (3-4):387-420.
    This work considers the formalisation of the merging process of stratified belief bases, where beliefs are stored in different layers or strata. Their strata are ranked, following a total order, employing the value the agent using the belief base assigns to these beliefs. The agent uses an argumentation mechanism to reason from the belief base and obtain the final inferences. We present two ways of merging stratified belief bases: the first is defined by merging two strata without belief preservation, and (...)
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  • Finding explanations of inconsistency in multi-context systems.Thomas Eiter, Michael Fink, Peter Schüller & Antonius Weinzierl - 2014 - Artificial Intelligence 216 (C):233-274.
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  • Belief merging with the aim of truthlikeness.Simon D’Alfonso - 2016 - Synthese 193 (7):2013-2034.
    The merging/fusion of belief/data collections in propositional logic form is a topic that has received due attention within the domains of database and AI research. A distinction can be made between two types of scenarios to which the process of merging can be applied. In the first type, the collections represent preferences, such as the voting choices of a group of people, that need to be aggregated so as to give a consistent result that in some way best represents the (...)
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  • Truth approximation, belief merging, and peer disagreement.Gustavo Cevolani - 2014 - Synthese 191 (11):2383-2401.
    In this paper, we investigate the problem of truth approximation via belief merging, i.e., we ask whether, and under what conditions, a group of inquirers merging together their beliefs makes progress toward the truth about the underlying domain. We answer this question by proving some formal results on how belief merging operators perform with respect to the task of truth approximation, construed as increasing verisimilitude or truthlikeness. Our results shed new light on the issue of how rational (dis)agreement affects the (...)
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  • Logic of belief revision.Sven Ove Hansson - 2008 - Stanford Encyclopedia of Philosophy.
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