Impossible Worlds and the Logic of Imagination
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Logic, Reasoning, and Revision
Logic, Reasoning, and Revision Abstract The traditional connection between logic and reasoning has been under pressure ever since Gilbert Harman attacked the received view that logic yields norms for what we should believe. In this paper I first place Harman’s challenge in the broader context of the dialectic between logical revisionists like Bob Meyer and sceptics about the role of logic in reasoning like Harman. I then develop a formal model based on contemporary epistemic and doxastic logic in which the relation between logic and norms for belief can be captured. introduction The canons of classical deductive logic provide, at least according to a widespread but presumably naive view, general as well as infallible norms for reasoning. Obviously, few instances of actual reasoning have such prop- erties, and it is therefore not surprising that the naive view has been chal- lenged in many ways. Four kinds of challenges are relevant to the question of where the naive view goes wrong, but each of these challenges is also in- teresting because it allows us to focus on a particular aspect of the relation between deductive logic, reasoning, and logical revision. Challenges to the naive view that classical deductive logic directly yields norms for reason- ing come in two sorts. Two of them are straightforwardly revisionist; they claim that the consequence relation of classical logic is the culprit. The remaining two directly question the naive view about the normative role of logic for reasoning; they do not think that the philosophical notion of en- tailment (however conceived) is as relevant to reasoning as has traditionally been assumed. -
Logically Impossible Worlds
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by PhilPapers Forthcoming in the Australasian Journal of Logic Logically Impossible Worlds Koji Tanaka School of Philosophy Research School of Social Sciences Australian National University [email protected] 1 Impossible Worlds If we think of a possible world as representing a way things can be, an impossible world represents a way in which things cannot be. The importance of impossible worlds has been discussed in recent literature.1 One reason for accepting impossi- ble worlds comes from counterfactual reasoning (Nolan (1997), Routley (1989)). Consider, for instance, the following counterfactual: if someone were to square a circle, she or he would be famous. This counterfactual has an impossible an- tecedent. One way to analyse such a counterfactual is to invoke an impossible world where someone does square a circle and evaluate the consequent at the world or a set of worlds that is or are the closest to that impossible world. But what exactly are impossible worlds? What does it mean to talk about ways in which things cannot be? There are several formulations of impossible worlds in the literature.2 Some characterise the impossibility of impossible worlds in terms of logic. There have been mainly three ways in which impossible worlds are characterised in logical terms. First, an impossible world is a world where A ^ :A is true for some A (Lycan (1994)). According to this view, an impossible world is a world where some contradiction obtains. Second, an impossible world is a world that is governed by some non-classical logic (Cresswell (1973)). -
Principles of Knowledge, Belief and Conditional Belief Guillaume Aucher
Principles of Knowledge, Belief and Conditional Belief Guillaume Aucher To cite this version: Guillaume Aucher. Principles of Knowledge, Belief and Conditional Belief. Interdisciplinary Works in Logic, Epistemology, Psychology and Linguistics, pp.97 - 134, 2014, 10.1007/978-3-319-03044-9_5. hal-01098789 HAL Id: hal-01098789 https://hal.inria.fr/hal-01098789 Submitted on 29 Dec 2014 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Principles of knowledge, belief and conditional belief Guillaume Aucher 1 Introduction Elucidating the nature of the relationship between knowledge and belief is an old issue in epistemology dating back at least to Plato. Two approaches to addressing this problem stand out from the rest. The first consists in providing a definition of knowledge, in terms of belief, that would somehow pin down the essential ingredient binding knowledge to belief. The second consists in providing a complete characterization of this relationship in terms of logical principles relating these two notions. The accomplishement of either of these two objectives would certainly contribute to solving this problem. The success of the first approach is hindered by the so-called ‘Gettier problem’. Until recently, the view that knowledge could be defined in terms of belief as ‘justified true belief’ was endorsed by most philosophers. -
Implicit Versus Explicit Knowledge in Dialogical Logic Manuel Rebuschi
Implicit versus Explicit Knowledge in Dialogical Logic Manuel Rebuschi To cite this version: Manuel Rebuschi. Implicit versus Explicit Knowledge in Dialogical Logic. Ondrej Majer, Ahti-Veikko Pietarinen and Tero Tulenheimo. Games: Unifying Logic, Language, and Philosophy, Springer, pp.229-246, 2009, 10.1007/978-1-4020-9374-6_10. halshs-00556250 HAL Id: halshs-00556250 https://halshs.archives-ouvertes.fr/halshs-00556250 Submitted on 16 Jan 2011 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Implicit versus Explicit Knowledge in Dialogical Logic Manuel Rebuschi L.P.H.S. – Archives H. Poincar´e Universit´ede Nancy 2 [email protected] [The final version of this paper is published in: O. Majer et al. (eds.), Games: Unifying Logic, Language, and Philosophy, Dordrecht, Springer, 2009, 229-246.] Abstract A dialogical version of (modal) epistemic logic is outlined, with an intuitionistic variant. Another version of dialogical epistemic logic is then provided by means of the S4 mapping of intuitionistic logic. Both systems cast new light on the relationship between intuitionism, modal logic and dialogical games. Introduction Two main approaches to knowledge in logic can be distinguished [1]. The first one is an implicit way of encoding knowledge and consists in an epistemic interpretation of usual logic. -
Inquisitive Conditional-Doxastic Logic
Inquisitive Conditional-Doxastic Logic MSc Thesis (Afstudeerscriptie) written by Benjamin Sparkes (born 31/05/1989 in Bristol, United Kingdom) under the supervision of Dr. Ivano Ciardelli and Dr. Floris Roelofsen, and submitted to the Board of Examiners in partial fulfillment of the requirements for the degree of MSc in Logic at the Universiteit van Amsterdam. Date of the public defense: Members of the Thesis Committee: August 30 2016 Dr. Ivano Ciardelli Prof. Dr. Benedikt Löwe (chair) Dr. Soroush Rafiee Rad Dr. Floris Roelofsen Dr. Katrin Schulz Prof. Dr. Frank Veltman Abstract This thesis develops inquisitive conditional-doxastic logic, obtained by enriching classi- cal multi-agent plausibility models with issues for each agent. The aim of these models is to allow for a finer approach to modelling inquiry. Issues capture informative and interrogative content, and so by associating an issue to an agent we are able to capture both their information state and their inquisitive state, while a plausibility map on worlds captures their doxastic state. Moreover, inquisitive plausibility models allow for conditionalisation on both informative and interrogative content. Two conditional-doxastic modalities are introduced and axiomatised; a considers modality unique to inquisitive conditional-doxastic logic, which conditionalises on is- sues with respect to both an agent’s doxastic and inquisitive state, and a generalisation of (conditional) belief, which conditionalises solely on an agent’s doxastic state. We show that inquisitive conditional-doxastic logic encodes the same assumptions concerning conditionalisation and conditional-doxastic logic. And, just as conditional- doxastic logic may be taken as the static counterpart to a dynamic logic of belief revi- sion, inquisitive conditional-doxastic logic can be taken as the static counterpart to a dy- namic logic of belief revision within an enriched setting that includes formal resources to model interrogatives. -
The Transience of Possibility Reina Hayaki
Forthcoming in the European Journal of Analytic Philosophy (2006). The Transience of Possibility Reina Hayaki ABSTRACT. The standard view of metaphysical necessity is that it is truth in all possible worlds, and therefore that the correct modal logic for metaphysical necessity is S5, in models of which all worlds are accessible from each other. I argue that S5 cannot be the correct logic for metaphysical necessity because accessibility is not symmetric: there are possible worlds that are accessible from ours but from which our world is not accessible. There are (or could be) some individuals who, if they had not existed, could not have existed. Once the possibility of such individuals is lost, it is gone forever. 1. Truth in all possible worlds? It is now widely (though not universally) accepted that metaphysical necessity is to be distinguished from logical necessity. A proposition is logically necessary if it is a theorem of logic. The notion of logical necessity is not without its problems. When we say “a theorem of logic”, which logic is appropriate for this definition? Should we use mere first-order logic, or something more powerful? (Are axioms of second-order logic logically necessary truths?) What if the relevant logic is not complete, so that some true sentences are not theorems? Are all mathematical truths logically necessary? Or, given the apparent failure of efforts to reduce mathematics to logic, should we say that some 1 mathematical propositions are not logically necessary but perhaps “mathematically necessary”, relative to a particular system of mathematics? How should we adjudicate wrangling between adherents of mutually incompatible logics, such as classical and non- classical logics? Regardless of how we answer these questions, the notion of logical necessity is at heart a syntactic one. -
Analyticity, Necessity and Belief Aspects of Two-Dimensional Semantics
!"# #$%"" &'( ( )#"% * +, %- ( * %. ( %/* %0 * ( +, %. % +, % %0 ( 1 2 % ( %/ %+ ( ( %/ ( %/ ( ( 1 ( ( ( % "# 344%%4 253333 #6#787 /0.' 9'# 86' 8" /0.' 9'# 86' (#"8'# Analyticity, Necessity and Belief Aspects of two-dimensional semantics Eric Johannesson c Eric Johannesson, Stockholm 2017 ISBN print 978-91-7649-776-0 ISBN PDF 978-91-7649-777-7 Printed by Universitetsservice US-AB, Stockholm 2017 Distributor: Department of Philosophy, Stockholm University Cover photo: the water at Petite Terre, Guadeloupe 2016 Contents Acknowledgments v 1 Introduction 1 2 Modal logic 7 2.1Introduction.......................... 7 2.2Basicmodallogic....................... 13 2.3Non-denotingterms..................... 21 2.4Chaptersummary...................... 23 3 Two-dimensionalism 25 3.1Introduction.......................... 25 3.2Basictemporallogic..................... 27 3.3 Adding the now operator.................. 29 3.4Addingtheactualityoperator................ 32 3.5 Descriptivism ......................... 34 3.6Theanalytic/syntheticdistinction............. 40 3.7 Descriptivist 2D-semantics .................. 42 3.8 Causal descriptivism ..................... 49 3.9Meta-semantictwo-dimensionalism............. 50 3.10Epistemictwo-dimensionalism................ 54 -
Sylvan's Bottle and Other Problems
Australasian Journal of Logic Sylvan’s Bottle and other problems Diane Proudfoot University of Canterbury New Zealand Abstract According to Richard Routley, a comprehensive theory of fiction is impossible, since almost anything is in principle imaginable. In my view, Routley is right: for any purported logic of fiction, there will be actual or imaginable fictions that successfully counterexample the logic. Using the example of ‘impossible’ fictions, I test this claim against theories proposed by Routley’s Meinongian contemporaries and also by Routley himself (for what he called ‘esoteric’ works of fiction) and his 21st century heirs. I argue that the phenomenon of impossible fictions challenges even today’s modal Meinongians. 1 Routley’s rules for the semantics of fiction According to Richard Routley, ‘any properly comprehensive theory of objects ... is obliged to supply a theory of fictions’ (1980, p. 538). Nevertheless, fictions, he said, ‘provide a severe testing ground for logical and semantical theories’ and ‘have regularly revealed serious weaknesses in each new theory proposed’ (ibid., p. 537). The severity of the test is due to certain characteristics of fiction noted by Routley, which I shall formulate as a set of three rules: R1. ‘[T]he author of a work of fiction can try to set down whatever he imagines; and the free range of imagination is virtually unlimited.’ ‘[An author has the] freedom to create whatever he will within the bounds of his art’ (Routley 1979, pp. 6, 8) R2. ‘[T]here are fictional worlds in which any given logical truth (or theorem) fails to hold or is violated.’ (ibid., p. -
The Paradox of Infallibility
The Paradox of Infallibility Daniel Rönnedal Stockholm University Abstract This paper discusses a new paradox, the paradox of infallibility. Let us define in- fallibility in the following way: (Def I) t is infallible if and only if (iff) everything t believes is true, where t is any term. (Def I) entails the following proposition: (I) It is necessary that for every individual x, x is infallible iff every proposition x be- lieves is true. However, (I) seems to be inconsistent with the following proposi- tion (P): It is possible that there is some individual who believes exactly one proposition, namely that she is not infallible. So, it seems to be the case that either (I) or (P) must be false. Yet, (I) is simply a consequence of (Def I) and (P) clearly seems to be true. This is the puzzle. I discuss five possible solutions to the prob- lem and mention some arguments for and against these solutions. Keywords: Paradoxes, Infallibility, Epistemic paradoxes, Dialetheism, Proposi- tional quantifiers. 1. Introduction In this paper, I introduce a new paradox, the paradox of infallibility. Intuitively, this puzzle can be formulated in the following way. Assume that someone is in- fallible if and only if (iff) everything she believes is true and that there is an indi- vidual who believes exactly one proposition, namely the proposition that she is not infallible. Suppose that this individual is infallible. Then everything she be- lieves is true. Hence, she is not infallible, since she believes that she is not infal- lible. So, if she is infallible, she is not infallible. -
The Principle of Analyticity of Logic a Philosophical and Formal Perspective
Scuola Normale Superiore Classe di Lettere e Filosofia Corso di Perfezionamento in Filosofia The Principle of Analyticity of Logic A Philosophical and Formal Perspective Thesis Advisors: Candidate: Prof. Marcello D'Agostino Costanza Larese Prof. Massimo Mugnai July 2019 2 Contents Introduction 4 Summary 8 I Historical and philosophical reconstruction 12 1 Kant and the foundations of the analytic-synthetic distinction 14 1.1 The Kantian analytic-synthetic distinction . 14 1.1.1 Criteria for analyticity . 16 1.1.2 Containment . 19 1.1.3 Clarification, identity and contradiction . 26 1.1.4 Syntheticity and intuition . 33 1.2 Kant's pure general logic . 35 1.2.1 The topics of pure general logic . 37 1.2.2 The conception of pure general logic . 41 1.3 The relationship between analyticity and logic . 46 1.3.1 Logic as an instrument . 46 1.3.2 The status of logic . 47 2 Bolzano and the syntheticity of logic 54 2.1 Bolzano's analytic-synthetic distinction . 54 2.1.1 Preliminary notions: the method of substitution, validity, derivability . 54 2.1.2 Bolzano's conception of analyticity . 57 2.1.3 The notion of logical analyticity . 62 2.1.4 Language independence and synonymy . 65 2.1.5 Criticisms against Kant's analysis and analytic-synthetic dis- tinction . 66 2.2 The science of logic . 70 2.2.1 Grounding, deductive sciences and synthetic a priori .... 70 3 CONTENTS 4 2.2.2 Bolzano's thesis that logic is synthetic . 74 2.3 An evaluation . 76 2.3.1 A contradiction in Bolzano's system? The pragmatics of analyticity . -
Logically Impossible Worlds
Australasian Journal of Logic Logically Impossible Worlds Koji Tanaka School of Philosophy Research School of Social Sciences Australian National University [email protected] 1 Impossible Worlds If we think of a possible world as representing a way things can be, an impossible world represents a way in which things cannot be. The importance of impossible worlds has been discussed in recent literature.1 One reason for accepting impossi- ble worlds comes from counterfactual reasoning (Nolan (1997), Routley (1989)). Consider, for instance, the following counterfactual: if someone were to square a circle, she or he would be famous. This counterfactual has an impossible an- tecedent. One way to analyse such a counterfactual is to invoke an impossible world where someone does square a circle and evaluate the consequent at the world or a set of worlds that is or are the closest to that impossible world. But what exactly are impossible worlds? What does it mean to talk about ways in which things cannot be? There are several formulations of impossible worlds in the literature.2 Some characterise the impossibility of impossible worlds in terms of logic. There have been mainly three ways in which impossible worlds are characterised in logical terms. First, an impossible world is a world where A ^ :A is true for some A (Lycan (1994)). According to this view, an impossible world is a world where some contradiction obtains. Second, an impossible world is a world that is governed by some non-classical logic (Cresswell (1973)). According to this second formulation, it is assumed that classical logic holds at the actual world, and a world is impossible if the laws of classical logic fail. -
Thesis Proposal Changing Beliefs in a Changing World
May 2, 2018 DRAFT Thesis Proposal Changing Beliefs in a Changing World Joao˜ G. Martins April 2018 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Thesis Committee: Andre´ Platzer, Chair, co-advisor (CMU) Joao˜ Leite, co-advisor (FCT) Frank Pfenning, Stephen Brookes, Wiebe van der Hoek, external chair Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Copyright c 2018 Joao˜ G. Martins May 2, 2018 DRAFT Keywords: dynamic epistemic logic, dynamic doxastic logic, cyber-physical systems, dif- ferential dynamic logic, modal logic, dynamic logic May 2, 2018 DRAFT Abstract We find ourselves on the cusp of a revolution in the transportation industry, with an expectation for the impending widespread adoption of self-driving capabilities, promising faster and more efficient deliveries, more comfort and better bottom lines. Critical to achieving this vision, however, is large scale deployment of vehicles with self-driving capabilities, or cyber-physical systems (CPSs), into roadways and airways already teeming with other human- and computer-controlled vehicles. This deployment cannot, and indeed should not be acceptable until the safety of the con- trollers in charge of new CPSs is credibly proven. Already several incidents, some fatal, cast a shadow of doubt onto the public’s belief about whether heterogeneously controlled systems can safely function within the same environments. While significant progress has been made in formally verifying the safety of CPS models, we argue that current models often do not accurately represent real systems because of an implicit assumption of perfect knowledge of the real-world. In reality, sensor noise and incomplete or even counterfactual beliefs create ample possibilities for controller decisions that lead to safety violations.