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  1. Book: Cognitive Design for Artificial Minds.Antonio Lieto - 2021 - London, UK: Routledge, Taylor & Francis Ltd.
    Book Description (Blurb): Cognitive Design for Artificial Minds explains the crucial role that human cognition research plays in the design and realization of artificial intelligence systems, illustrating the steps necessary for the design of artificial models of cognition. It bridges the gap between the theoretical, experimental and technological issues addressed in the context of AI of cognitive inspiration and computational cognitive science. -/- Beginning with an overview of the historical, methodological and technical issues in the field of Cognitively-Inspired Artificial Intelligence, (...)
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  • Semantics and complexity of recursive aggregates in answer set programming.Wolfgang Faber, Gerald Pfeifer & Nicola Leone - 2011 - Artificial Intelligence 175 (1):278-298.
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  • Dialogue games that agents play within a society.Nishan C. Karunatillake, Nicholas R. Jennings, Iyad Rahwan & Peter McBurney - 2009 - Artificial Intelligence 173 (9-10):935-981.
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  • Search and Reasoning in problem solving.Herbert A. Simon - 1983 - Artificial Intelligence 21 (1-2):7-29.
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  • Dialectic proof procedures for assumption-based, admissible argumentation.P. M. Dung, R. A. Kowalski & F. Toni - 2006 - Artificial Intelligence 170 (2):114-159.
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  • An epistemological science of common sense.Fausto Giunchiglia - 1995 - Artificial Intelligence 77 (2):371-392.
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  • Elaboration tolerance through object-orientation.Joakim Gustafsson & Jonas Kvarnström - 2004 - Artificial Intelligence 153 (1-2):239-285.
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  • Foundations of a functional approach to knowledge representation.Hector J. Levesque - 1984 - Artificial Intelligence 23 (2):155-212.
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  • Completeness results for circumscription.Donald Perlis & Jack Minker - 1986 - Artificial Intelligence 28 (1):29-42.
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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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  • On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games.Phan Minh Dung - 1995 - Artificial Intelligence 77 (2):321-357.
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  • A circumscriptive calculus of events.Murray Shanahan - 1995 - Artificial Intelligence 77 (2):249-284.
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  • Reducing belief revision to circumscription.Paolo Liberatore & Marco Schaerf - 1997 - Artificial Intelligence 93 (1-2):261-296.
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  • Note about cardinality-based circumscription.Yves Moinard - 2000 - Artificial Intelligence 119 (1-2):259-273.
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  • Logic in knowledge representation and reasoning: Central topics via readings.Luis M. Augusto - manuscript
    Logic has been a—disputed—ingredient in the emergence and development of the now very large field known as knowledge representation and reasoning. In this book (in progress), I select some central topics in this highly fruitful, albeit controversial, association (e.g., non-monotonic reasoning, implicit belief, logical omniscience, closed world assumption), identifying their sources and analyzing/explaining their elaboration in highly influential published work.
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  • Metaphor, Modularity, and the Evolution of Conceptual Integration.Dan L. Chiappe - 2000 - Metaphor and Symbol 15 (3):137-158.
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  • Logical Omnipotence and Two notions of Implicit Belief.Danilo Fraga Dantas - 2019 - In Tiegue Vieira Rodrigues (ed.), Epistemologia Analítica: Debates Contemporâneos. Porto Alegre: Editora Fi. pp. 29-46.
    The most widespread models of rational reasoners (the model based on modal epistemic logic and the model based on probability theory) exhibit the problem of logical omniscience. The most common strategy for avoiding this problem is to interpret the models as describing the explicit beliefs of an ideal reasoner, but only the implicit beliefs of a real reasoner. I argue that this strategy faces serious normative issues. In this paper, I present the more fundamental problem of logical omnipotence, which highlights (...)
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  • (1 other version)Epistemologia Analítica, Vol .1: debates contemporâneos.Tiegue Vieira Rodrigues (ed.) - 2019 - Editora Fi.
    O presente volume se trata de uma coletânea de artigos que reúne alguns dos trabalhos propostos para o evento “III International Colloquium of Analytic Epistemology and VII Conference of Social Epistemology”, realizado entre os dias 27 e 30 de Novembro de 2018, na Universidade Federal de Santa Maria. O “III International Colloquium of Analytic Epistemology and VII Conference of Social Epistemology” é um dos principais eventos de Epistemologia analítica da América Latina e reúne especialistas do Brasil e do exterior para (...)
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  • Characterizing generics are material inference tickets: a proof-theoretic analysis.Preston Stovall - 2019 - Inquiry: An Interdisciplinary Journal of Philosophy (5):668-704.
    An adequate semantics for generic sentences must stake out positions across a range of contested territory in philosophy and linguistics. For this reason the study of generic sentences is a venue for investigating different frameworks for understanding human rationality as manifested in linguistic phenomena such as quantification, classification of individuals under kinds, defeasible reasoning, and intensionality. Despite the wide variety of semantic theories developed for generic sentences, to date these theories have been almost universally model-theoretic and representational. This essay outlines (...)
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  • Reasoning in Non-probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples.Henri Prade, Markus Knauff, Igor Douven & Gabriele Kern-Isberner - 2017 - Minds and Machines 27 (1):37-77.
    This article aims to achieve two goals: to show that probability is not the only way of dealing with uncertainty ; and to provide evidence that logic-based methods can well support reasoning with uncertainty. For the latter claim, two paradigmatic examples are presented: logic programming with Kleene semantics for modelling reasoning from information in a discourse, to an interpretation of the state of affairs of the intended model, and a neural-symbolic implementation of input/output logic for dealing with uncertainty in dynamic (...)
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  • A Note on a Description Logic of Concept and Role Typicality for Defeasible Reasoning Over Ontologies.Ivan Varzinczak - 2018 - Logica Universalis 12 (3-4):297-325.
    In this work, we propose a meaningful extension of description logics for non-monotonic reasoning. We introduce \, a logic allowing for the representation of and reasoning about both typical class-membership and typical instances of a relation. We propose a preferential semantics for \ in terms of partially-ordered DL interpretations which intuitively captures the notions of typicality we are interested in. We define a tableau-based algorithm for checking \ knowledge-base consistency that always terminates and we show that it is sound and (...)
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  • A Semantic Approach to Nonmonotonic Reasoning: Inference Operations and Choice, Uppsala Prints and Preprints in Philosophy, 1994, no 10.Sten Lindström - manuscript
    This paper presents a uniform semantic treatment of nonmonotonic inference operations that allow for inferences from infinite sets of premises. The semantics is formulated in terms of selection functions and is a generalization of the preferential semantics of Shoham (1987), (1988), Kraus, Lehman, and Magidor (1990) and Makinson (1989), (1993). A selection function picks out from a given set of possible states (worlds, situations, models) a subset consisting of those states that are, in some sense, the most preferred ones. A (...)
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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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  • (1 other version)Ontology: Towards a new synthesis.Barry Smith & Chris Welty - 1998 - In Nicola Guarino (ed.), Formal Ontology in Information Systems. IOS Press.
    This introduction to the second international conference on Formal Ontology and Information Systems presents a brief history of ontology as a discipline spanning the boundaries of philosophy and information science. We sketch some of the reasons for the growth of ontology in the information science field, and offer a preliminary stocktaking of how the term ‘ontology’ is currently used. We conclude by suggesting some grounds for optimism as concerns the future collaboration between philosophical ontologists and information scientists.
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  • Almost Ideal: Computational Epistemology and the Limits of Rationality for Finite Reasoners.Danilo Fraga Dantas - 2016 - Dissertation, University of California, Davis
    The notion of an ideal reasoner has several uses in epistemology. Often, ideal reasoners are used as a parameter of (maximum) rationality for finite reasoners (e.g. humans). However, the notion of an ideal reasoner is normally construed in such a high degree of idealization (e.g. infinite/unbounded memory) that this use is unadvised. In this dissertation, I investigate the conditions under which an ideal reasoner may be used as a parameter of rationality for finite reasoners. In addition, I present and justify (...)
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  • Ontologia e sistemi informativi.Barry Smith - 2006 - Networks 6:137-164.
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  • Reasoning About Preference Dynamics.Fenrong Liu - 2011 - Dordrecht, Netherland: Springer Verlag.
    Our preferences determine how we act and think, but exactly what the mechanics are and how they work is a central cause of concern in many disciplines. This book uses techniques from modern logics of information flow and action to develop a unified new theory of what preference is and how it changes. The theory emphasizes reasons for preference, as well as its entanglement with our beliefs. Moreover, the book provides dynamic logical systems which describe the explicit triggers driving preference (...)
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  • Semantic Interpretation as Computation in Nonmonotonic Logic: The Real Meaning of the Suppression Task.Keith Stenning & Michiel van Lambalgen - 2005 - Cognitive Science 29 (6):919-960.
    Interpretation is the process whereby a hearer reasons to an interpretation of a speaker's discourse. The hearer normally adopts a credulous attitude to the discourse, at least for the purposes of interpreting it. That is to say the hearer tries to accommodate the truth of all the speaker's utterances in deriving an intended model. We present a nonmonotonic logical model of this process which defines unique minimal preferred models and efficiently simulates a kind of closed-world reasoning of particular interest for (...)
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  • Semantica e pragmatica linguistica. Tracce di normalità nelle implicature scalari.Salvatore Pistoia-Reda - 2014 - Carocci.
    In this book an introduction to the grammatical view of the scalar implicature phenomenon is presented. A detailed overview is offered concerning the embeddability of the exhaustivity operator, and the contextual dependance of the alternatives generation process. The theoretical implications of the grammatical view with respect to the abductive character of the scalar implicature are also discussed. A pragmatic account of the assertive content is proposed in correlation with a blindness-based account of the semantic content carried by scalar sentences, in (...)
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  • The Relevance of Philosophical Ontology to Information and Computer Science.Barry Smith - 2014 - In Ruth Hagenbruger & Uwe V. Riss (eds.), Philosophy, computing and information science. Pickering & Chattoo. pp. 75-83.
    The discipline of ontology has enjoyed a checkered history since 1606, with a significant expansion in recent years. We focus here on those developments in the recent history of philosophy which are most relevant to the understanding of the increased acceptance of ontology, and especially of realist ontology, as a valuable method also outside the discipline of philosophy.
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  • Models, rules and expertise.Rosemary J. Stevenson - 1993 - Behavioral and Brain Sciences 16 (2):366-366.
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  • Semantic interpolation.Dov M. Gabbay & Karl Schlechta - 2010 - Journal of Applied Non-Classical Logics 20 (4):345-371.
    The problem of interpolation is a classical problem in logic. Given a consequence relation |~ and two formulas φ and ψ with φ |~ ψ we try to find a “simple" formula α such that φ |~ α |~ ψ. “Simple" is defined here as “expressed in the common language of φ and ψ". Non-monotonic logics like preferential logics are often a mixture of a non-monotonic part with classical logic. In such cases, it is natural examine also variants of the (...)
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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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  • Epistemic capacities, incompatible information and incomplete beliefs.Piotr Kulicki, Robert Trypuz, Paweł Garbacz & Marek Lechniak - 2010 - In Piotr Kulicki, Robert Trypuz, Paweł Garbacz & Marek Lechniak (eds.), In proceeding of: ILCLI International Workshop on Logic and Philosophy of Knowledge, Communication and Action (LogKCA-10).
    We investigate a speci c model of knowledge and beliefs and their dynamics. The model is inspired by public announcement logic and the approach to puzzles concerning knowledge using that logic. In the model epistemic considerations are based on ontology. The main notion that constitutes a bridge between these two disciplines is the notion of epistemic capacities. Within the model we study scenarios in which agents can receive false announcements and can have incomplete or improper views about other agent's epistemic (...)
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  • Applications of Circumscription to Formalizing Common Sense Knowledge.John McCarthy - 1986 - Artificial Intelligence 28 (1):89–116.
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  • Defeasible Conditionalization.Paul D. Thorn - 2014 - Journal of Philosophical Logic 43 (2-3):283-302.
    The applicability of Bayesian conditionalization in setting one’s posterior probability for a proposition, α, is limited to cases where the value of a corresponding prior probability, PPRI(α|∧E), is available, where ∧E represents one’s complete body of evidence. In order to extend probability updating to cases where the prior probabilities needed for Bayesian conditionalization are unavailable, I introduce an inference schema, defeasible conditionalization, which allows one to update one’s personal probability in a proposition by conditioning on a proposition that represents a (...)
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  • Against Logicist Cognitive Science.Mike Oaksford & Nick Chater - 1991 - Mind and Language 6 (1):1-38.
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  • A sceptical theory of inheritance in nonmonotonic semantic networks.John F. Horty, Richmond H. Thomason & David S. Touretzky - 1990 - Artificial Intelligence 42 (2-3):311-348.
    inheritance reasoning in semantic networks allowing for multiple inheritance with exceptions. The approach leads to a definition of iaheritance that is..
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  • Design Science Research for Computational Thinking in Constructionist Education: A Pragmatist Perspective.Vladimiras Dolgopolovas, Valentina Dagienė, Eglė Jasutė & Tatjana Jevsikova - 2019 - Problemos 95.
    [full article, abstract in English; abstract in Lithuanian] The article examines the modern computer-based educational environment and the requirements of the possible cognitive interface that enables the learner’s cognitive grounding by incorporating abductive reasoning into the educational process. Although the main emphasis is on cognitive and physiological aspects, the practical tools for enabling computational thinking in a modern constructionist educational environment are discussed. The presented analytical material and developed solutions are aimed at education with computers. However, the proposed solutions can (...)
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  • Meaning and inference.Jaroslav Peregrin - 2003 - In Timothy Childers & Ondrej Majer (eds.), Logica Yearbook 2002. Filosofia.
    In this paper we first propose an exact definition of the concept of inferential role, and then go on to examine the question whether subscribing to inferentialism necessitates throwing away existing theories of formal semantics, as we know them from logic, or whether these could be somehow accomodated within the inferentialist framework. The conclusion we reach is that it is possible to make an inferentialist sense of even those common semantic theories which are usually considered as incompatible with inferentialism, such (...)
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  • The theory of nomic probability.John L. Pollock - 1992 - Synthese 90 (2):263 - 299.
    This article sketches a theory of objective probability focusing on nomic probability, which is supposed to be the kind of probability figuring in statistical laws of nature. The theory is based upon a strengthened probability calculus and some epistemological principles that formulate a precise version of the statistical syllogism. It is shown that from this rather minimal basis it is possible to derive theorems comprising (1) a theory of direct inference, and (2) a theory of induction. The theory of induction (...)
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  • Defeasible Reasoning.John L. Pollock - 1987 - Cognitive Science 11 (4):481-518.
    There was a long tradition in philosophy according to which good reasoning had to be deductively valid. However, that tradition began to be questioned in the 1960’s, and is now thoroughly discredited. What caused its downfall was the recognition that many familiar kinds of reasoning are not deductively valid, but clearly confer justification on their conclusions. Here are some simple examples.
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  • Reviewing Reduction in a Preferential Model‐Theoretic Context.Emma Ruttkamp & Johannes Heidema - 2005 - International Studies in the Philosophy of Science 19 (2):123 – 146.
    In this article, we redefine classical notions of theory reduction in such a way that model-theoretic preferential semantics becomes part of a realist depiction of this aspect of science. We offer a model-theoretic reconstruction of science in which theory succession or reduction is often better - or at a finer level of analysis - interpreted as the result of model succession or reduction. This analysis leads to 'defeasible reduction', defined as follows: The conjunction of the assumptions of a reducing theory (...)
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  • Prolegomena to concise theories of action.Pavlos Peppas, Costas D. Koutras & Mary-Anne Williams - 2001 - Studia Logica 67 (3):403-418.
    A new methodology for developing theories of action has recently emerged which provides means for formally evaluating the correctness of such theories. Yet, for a theory of action to qualify as a solution to the frame problem, not only does it need to produce correct inferences, but moreover, it needs to derive these inferences from a concise representation of the domain at hand. The new methodology however offers no means for assessing conciseness. Such a formal account of conciseness is developed (...)
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  • Prima facie and seeming duties.Michael Morreau - 1996 - Studia Logica 57 (1):47 - 71.
    Sir David Ross introduced prima facie duties, or acts with a tendency to be duties proper. He also spoke of general prima facie principles, wwhich attribute to acts having some feature the tendency to be a duty proper. Like Utilitarians from Mill to Hare, he saw a role for such principles in the epistemology of duty: in the process by means of which, in any given situation, a moral code can help us to find out what we ought to do.After (...)
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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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  • Logic and artificial intelligence: Divorced, still married, separated ...? [REVIEW]Selmer Bringsjord & David A. Ferrucci - 1998 - Minds and Machines 8 (2):273-308.
    Though it''s difficult to agree on the exact date of their union, logic and artificial intelligence (AI) were married by the late 1950s, and, at least during their honeymoon, were happily united. What connubial permutation do logic and AI find themselves in now? Are they still (happily) married? Are they divorced? Or are they only separated, both still keeping alive the promise of a future in which the old magic is rekindled? This paper is an attempt to answer these questions (...)
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  • A note on the rational closure of knowledge bases with both positive and negative knowledge.R. Booth & J. B. Paris - 1998 - Journal of Logic, Language and Information 7 (2):165-190.
    The notion of the rational closure of a positive knowledge base K of conditional assertions θ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$i$$ \end{document} |∼ φ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$i$$ \end{document} (standing for if θ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$i$$ \end{document} then normally φ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$i$$ \end{document}) was first introduced by Lehmann (1989) and developed by Lehmann and Magidor (...)
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  • Reduction revisited.Emma Ruttkamp - 2006 - South African Journal of Philosophy 25 (2):102-112.
    This is a first tentative examination of the possibility of reinstating reduction as a valid candidate for presenting relations between mental and physical properties. Classical Nagelian reduction is undoubtedly contaminated in many ways, but here I investigate the possibility of adapting to problems concerning mental properties an alternative definition for theory reduction in philosophy of science. The definition I offer is formulated with the aid of non-monotonic logic, which I suspect might be a very interesting realm for testing notions concerning (...)
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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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