Basic Modal Logic
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The Modal Logic of Potential Infinity, with an Application to Free Choice
The Modal Logic of Potential Infinity, With an Application to Free Choice Sequences Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Ethan Brauer, B.A. ∼6 6 Graduate Program in Philosophy The Ohio State University 2020 Dissertation Committee: Professor Stewart Shapiro, Co-adviser Professor Neil Tennant, Co-adviser Professor Chris Miller Professor Chris Pincock c Ethan Brauer, 2020 Abstract This dissertation is a study of potential infinity in mathematics and its contrast with actual infinity. Roughly, an actual infinity is a completed infinite totality. By contrast, a collection is potentially infinite when it is possible to expand it beyond any finite limit, despite not being a completed, actual infinite totality. The concept of potential infinity thus involves a notion of possibility. On this basis, recent progress has been made in giving an account of potential infinity using the resources of modal logic. Part I of this dissertation studies what the right modal logic is for reasoning about potential infinity. I begin Part I by rehearsing an argument|which is due to Linnebo and which I partially endorse|that the right modal logic is S4.2. Under this assumption, Linnebo has shown that a natural translation of non-modal first-order logic into modal first- order logic is sound and faithful. I argue that for the philosophical purposes at stake, the modal logic in question should be free and extend Linnebo's result to this setting. I then identify a limitation to the argument for S4.2 being the right modal logic for potential infinity. -
Logic: Representation and Automated Reasoning
Logic Knowledge Representation & Reasoning Mechanisms Logic ● Logic as KR ■ Propositional Logic ■ Predicate Logic (predicate Calculus) ● Automated Reasoning ■ Logical inferences ■ Resolution and Theorem-proving Logic ● Logic as KR ■ Propositional Logic ■ Predicate Logic (predicate Calculus) ● Automated Reasoning ■ Logical inferences ■ Resolution and Theorem-proving Propositional Logic ● Symbols: ■ truth symbols: true, false ■ propositions: a statement that is “true” or “false” but not both E.g., P = “Two plus two equals four” Q = “It rained yesterday.” ■ connectives: ~, →, ∧, ∨, ≡ • Sentences - propositions or truth symbols • Well formed formulas (expressions) - sentences that are legally well-formed with connectives E.g., P ∧ R → and P ~ are not wff but P ∧ R → ~ Q is Examples P Q AI is hard but it is interesting P ∧ Q AI is neither hard nor interesting ~P ∧ ~ Q P Q If you don’t do assignments then you will fail P → Q ≡ Do assignments or fail (Prove by truth table) ~ P ∨ Q None or both of P and Q is true (~ P ∧ ~ Q) ∨ (P ∧ Q) ≡ T Exactly one of P and Q is true (~ P ∧ Q) ∨ (P ∧ ~ Q) ≡ T Predicate Logic ● Symbols: • truth symbols • constants: represents objects in the world • variables: represents ranging objects } Terms • functions: represent properties • Predicates: functions of terms with true/false values e.g., bill_residence_city (vancouver) or lives (bill, vancouver) ● Atomic sentences: true, false, or predicates ● Quantifiers: ∀, ∃ ● Sentences (expressions): sequences of legal applications of connectives and quantifiers to atomic -
DRAFT: Final Version in Journal of Philosophical Logic Paul Hovda
Tensed mereology DRAFT: final version in Journal of Philosophical Logic Paul Hovda There are at least three main approaches to thinking about the way parthood logically interacts with time. Roughly: the eternalist perdurantist approach, on which the primary parthood relation is eternal and two-placed, and objects that persist persist by having temporal parts; the parameterist approach, on which the primary parthood relation is eternal and logically three-placed (x is part of y at t) and objects may or may not have temporal parts; and the tensed approach, on which the primary parthood relation is two-placed but (in many cases) temporary, in the sense that it may be that x is part of y, though x was not part of y. (These characterizations are brief; too brief, in fact, as our discussion will eventually show.) Orthogonally, there are different approaches to questions like Peter van Inwa- gen's \Special Composition Question" (SCQ): under what conditions do some objects compose something?1 (Let us, for the moment, work with an undefined notion of \compose;" we will get more precise later.) One central divide is be- tween those who answer the SCQ with \Under any conditions!" and those who disagree. In general, we can distinguish \plenitudinous" conceptions of compo- sition, that accept this answer, from \sparse" conceptions, that do not. (van Inwagen uses the term \universalist" where we use \plenitudinous.") A question closely related to the SCQ is: under what conditions do some objects compose more than one thing? We may distinguish “flat” conceptions of composition, on which the answer is \Under no conditions!" from others. -
Branching Time
24.244 Modal Logic, Fall 2009 Prof. Robert Stalnaker Lecture Notes 16: Branching Time Ordinary tense logic is a 'multi-modal logic', in which there are two (pairs of) modal operators: P/H and F/G. In the semantics, the accessibility relations, for past and future tenses, are interdefinable, so in effect there is only one accessibility relation in the semantics. However, P/H cannot be defined in terms of F/G. The expressive power of the language does not match the semantics in this case. But this is just a minimal multi-modal theory. The frame is a pair consisting of an accessibility relation and a set of points, representing moments of time. The two modal operators are defined on this one set. In the branching time theory, we have two different W's, in a way. We put together the basic tense logic, where the points are moments of time, with the modal logic, where they are possible worlds. But they're not independent of one another. In particular, unlike abstract modal semantics, where possible worlds are primitives, the possible worlds in the branching time theory are defined entities, and the accessibility relation is defined with respect to the structure of the possible worlds. In the pure, abstract theory, where possible worlds are primitives, to the extent that there is structure, the structure is defined in terms of the relation on these worlds. So the worlds themselves are points, the structure of the overall frame is given by the accessibility relation. In the branching time theory, the possible worlds are possible histories, which have a structure defined by a more basic frame, and the accessibility relation is defined in terms of that structure. -
29 Alethic Modal Logics and Semantics
29 Alethic Modal Logics and Semantics GERHARD SCHURZ 1 Introduction The first axiomatic development of modal logic was untertaken by C. I. Lewis in 1912. Being anticipated by H. McCall in 1880, Lewis tried to cure logic from the ‘paradoxes’ of extensional (i.e. truthfunctional) implication … (cf. Hughes and Cresswell 1968: 215). He introduced the stronger notion of strict implication <, which can be defined with help of a necessity operator ᮀ (for ‘it is neessary that:’) as follows: A < B iff ᮀ(A … B); in words, A strictly implies B iff A necessarily implies B (A, B, . for arbitrary sen- tences). The new primitive sentential operator ᮀ is intensional (non-truthfunctional): the truth value of A does not determine the truth-value of ᮀA. To demonstrate this it suf- fices to find two particular sentences p, q which agree in their truth value without that ᮀp and ᮀq agree in their truth-value. For example, it p = ‘the sun is identical with itself,’ and q = ‘the sun has nine planets,’ then p and q are both true, ᮀp is true, but ᮀq is false. The dual of the necessity-operator is the possibility operator ‡ (for ‘it is possible that:’) defined as follows: ‡A iff ÿᮀÿA; in words, A is possible iff A’s negation is not necessary. Alternatively, one might introduce ‡ as new primitive operator (this was Lewis’ choice in 1918) and define ᮀA as ÿ‡ÿA and A < B as ÿ‡(A ŸÿB). Lewis’ work cumulated in Lewis and Langford (1932), where the five axiomatic systems S1–S5 were introduced. -
First-Order Logic
First-Order Logic Chapter 8 1 Outline • Why FOL? • Syntax and semantics of FOL • Using FOL • Wumpus world in FOL • Knowledge engineering in FOL 2 Pros and cons of propositional logic ☺ Propositional logic is declarative ☺ Propositional logic allows partial/disjunctive/negated information – (unlike most data structures and databases) ☺ Propositional logic is compositional: – meaning of B1,1 ∧ P1,2 is derived from meaning of B1,1 and of P1,2 ☺ Meaning in propositional logic is context-independent – (unlike natural language, where meaning depends on context) Propositional logic has very limited expressive power – (unlike natural language) – E.g., cannot say "pits cause breezes in adjacent squares“ • except by writing one sentence for each square 3 First-order logic • Whereas propositional logic assumes the world contains facts, • first-order logic (like natural language) assumes the world contains – Objects: people, houses, numbers, colors, baseball games, wars, … – Relations: red, round, prime, brother of, bigger than, part of, comes between, … – Functions: father of, best friend, one more than, plus, … 4 Syntax of FOL: Basic elements • Constants KingJohn, 2, NUS,... • Predicates Brother, >,... • Functions Sqrt, LeftLegOf,... • Variables x, y, a, b,... • Connectives ¬, ⇒, ∧, ∨, ⇔ • Equality = • Quantifiers ∀, ∃ 5 Atomic sentences Atomic sentence = predicate (term1 ,...,termn) or term = term 1 2 Term = function (term1,..., termn) or constant or variable • E.g., Brother(KingJohn,RichardTheLionheart) > (Length(LeftLegOf(Richard)), Length(LeftLegOf(KingJohn))) -
Probabilistic Semantics for Modal Logic
Probabilistic Semantics for Modal Logic By Tamar Ariela Lando A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Philosophy in the Graduate Division of the University of California, Berkeley Committee in Charge: Paolo Mancosu (Co-Chair) Barry Stroud (Co-Chair) Christos Papadimitriou Spring, 2012 Abstract Probabilistic Semantics for Modal Logic by Tamar Ariela Lando Doctor of Philosophy in Philosophy University of California, Berkeley Professor Paolo Mancosu & Professor Barry Stroud, Co-Chairs We develop a probabilistic semantics for modal logic, which was introduced in recent years by Dana Scott. This semantics is intimately related to an older, topological semantics for modal logic developed by Tarski in the 1940’s. Instead of interpreting modal languages in topological spaces, as Tarski did, we interpret them in the Lebesgue measure algebra, or algebra of measurable subsets of the real interval, [0, 1], modulo sets of measure zero. In the probabilistic semantics, each formula is assigned to some element of the algebra, and acquires a corresponding probability (or measure) value. A formula is satisfed in a model over the algebra if it is assigned to the top element in the algebra—or, equivalently, has probability 1. The dissertation focuses on questions of completeness. We show that the propo- sitional modal logic, S4, is sound and complete for the probabilistic semantics (formally, S4 is sound and complete for the Lebesgue measure algebra). We then show that we can extend this semantics to more complex, multi-modal languages. In particular, we prove that the dynamic topological logic, S4C, is sound and com- plete for the probabilistic semantics (formally, S4C is sound and complete for the Lebesgue measure algebra with O-operators). -
Logic-Sensitivity of Aristotelian Diagrams in Non-Normal Modal Logics
axioms Article Logic-Sensitivity of Aristotelian Diagrams in Non-Normal Modal Logics Lorenz Demey 1,2 1 Center for Logic and Philosophy of Science, KU Leuven, 3000 Leuven, Belgium; [email protected] 2 KU Leuven Institute for Artificial Intelligence, KU Leuven, 3000 Leuven, Belgium Abstract: Aristotelian diagrams, such as the square of opposition, are well-known in the context of normal modal logics (i.e., systems of modal logic which can be given a relational semantics in terms of Kripke models). This paper studies Aristotelian diagrams for non-normal systems of modal logic (based on neighborhood semantics, a topologically inspired generalization of relational semantics). In particular, we investigate the phenomenon of logic-sensitivity of Aristotelian diagrams. We distin- guish between four different types of logic-sensitivity, viz. with respect to (i) Aristotelian families, (ii) logical equivalence of formulas, (iii) contingency of formulas, and (iv) Boolean subfamilies of a given Aristotelian family. We provide concrete examples of Aristotelian diagrams that illustrate these four types of logic-sensitivity in the realm of normal modal logic. Next, we discuss more subtle examples of Aristotelian diagrams, which are not sensitive with respect to normal modal logics, but which nevertheless turn out to be highly logic-sensitive once we turn to non-normal systems of modal logic. Keywords: Aristotelian diagram; non-normal modal logic; square of opposition; logical geometry; neighborhood semantics; bitstring semantics MSC: 03B45; 03A05 Citation: Demey, L. Logic-Sensitivity of Aristotelian Diagrams in Non-Normal Modal Logics. Axioms 2021, 10, 128. https://doi.org/ 1. Introduction 10.3390/axioms10030128 Aristotelian diagrams, such as the so-called square of opposition, visualize a number Academic Editor: Radko Mesiar of formulas from some logical system, as well as certain logical relations holding between them. -
Atomic Sentences
Symbolic Logic Study Guide: Class Notes 5 1.2. Notes for Chapter 2: Atomic Sentences 1.2.1. The Basic Structure of Atomic Sentences (2.1, 2.2, 2.3, and 2.5 of the Text) 1. Comparison between simple English sentences and atomic sentences Simple English Sentences Atomic sentences (FOL) (subject-predicate sentences) John is a freshman Freshman (John) John swims. Swim (John) John loves Jenny. Love (John, Jenny) John prefers Jenny to Amy. Prefer (John, Jenny, Amy) John’s mother loves Jenny. Love (mother (John), Jenny) The father of Jenny is angry. Angry (father (Jenny)) John is the brother of Jenny. John = brother (Jenny) [relational identity] 2. Names Definition: Names are individual constants that refer to some fixed individual objects or other. (1) The rule of naming (p. 10) • No empty name. • No multiple references (do not use one name to refer to different objects). • Multiple names: you can name one object by different names. (2) General terms / names: using a predicate, instead of a constant, to represent a general term. For example, John is a student Student (John) [correct] John = student [wrong!!!] 3. Predicates Definition: Predicates are symbols used to denote some property of objects or some relationship between objects. (1) Arity of predicates • Unary predicates--property • Binary predicates Relations • Ternary predicates (2) The predicates used in Tarski’s World: see p. 11. (3) Two rules of predicates: see p.12. 6 Symbolic Logic Study Guide: Class Notes 4. Functions Definition: A function is an individual constant determined by another constant. (1) Comparison with names: • Both refer to some fixed individual objects. -
1 Winnowing Wittgenstein: What's Worth Salvaging from the Wreck Of
Winnowing Wittgenstein: What’s Worth Salvaging from the Wreck of the Tractatus Peter Simons Trinity College Dublin Abstract Wittgenstein’s Tractatus still harbours valuable lessons for contemporary philosophy, but which ones? Wittgenstein’s long list of things we cannot speak about is set aside, but his insistence that the logical constants do not represent is retained, as is the absolute distinction between names and sentences. We preserve his atomism of elementary sentences but discard the atomism of simple objects in states of affairs. The fundamental harmony between language and the world is rejected: it is the source of much that is wrong in the Tractatus. What remains is a clarified role for items in making elementary sentences true. 1 Introduction Kevin Mulligan has maintained throughout his philosophical career a keen and judicious appreciation of the chief figures of that great philosophical explosion centred on Austria in the 19th and early 20th century. Of these figures, the best-known and most widely influential is Ludwig Wittgenstein.1 Kevin has maintained, quite rightly, that it is impossible to appreciate the extent to which Wittgenstein’s contributions to philosophy are as original as his many admirers contend without a great deal more knowledge of the Central European milieu from which Wittgenstein emerged than the majority of these admirers care to or are prepared to investigate. In this respect the more diffuse and ample later philosophy presents a much greater challenge than the early work which culminated in the Logisch-philosophische Abhandlung.2 The modest extent of the Tractatus and its more limited period of genesis, as well as its relatively crisper form and content, render it a more manageable and ultimately less controversial work than the post-Tractarian writings, whose thrust is even today occasionally obscure, despite more than a half century of frenzied exegesis. -
Chapter 1. Sentential Logic
CHAPTER 1. SENTENTIAL LOGIC 1. Introduction In sentential logic we study how given sentences may be combined to form more complicated compound sentences. For example, from the sentences 7 is prime, 7 is odd, 2 is prime, 2 is odd, we can obtain the following sentences: • 7 is prime and 7 is odd • 7 is odd and 2 is odd • 7 is odd or 2 is odd • 7 is not odd • If 2 is odd then 2 is prime Of course, this process can be iterated as often as we want, obtaining also: • If 7 is not odd then 2 is odd • If 7 is odd and 2 is odd then 2 is not prime • (7 is odd and 2 is odd) or 2 is prime We have improved on English in the last example by using parentheses to resolve an ambiguity. And, or, not, if . then (or implies) are called (sentential) connectives. Using them we can define more connectives, for example 2 is prime iff 2 is odd can be defined as (If 2 is prime then 2 is odd) and (if 2 is odd then 2 is prime). The truth value of any compound sentence is determined completely by the truth values of its component parts. For example, assuming 2, 7, odd, prime all have their usual meanings then 7 is odd and 2 is odd is false but (7 is odd and 2 is odd) or 2 is prime is true. We will discuss implication later. In the formal system of sentential logic we study in this Chapter, we do not use English sentences, but build the compound sentences from an infinite collection of symbols which we think of as referring to sentences — since these are not built up from other sentences we refer to them as atomic sentences. -
31 Deontic, Epistemic, and Temporal Modal Logics
31 Deontic, Epistemic, and Temporal Modal Logics RISTO HILPINEN 1 Modal Concepts Modal logic is the logic of modal concepts and modal statements. Modal concepts (modalities) include the concepts of necessity, possibility, and related concepts. Modalities can be interpreted in different ways: for example, the possibility of a propo- sition or a state of affairs can be taken to mean that it is not ruled out by what is known (an epistemic interpretation) or believed (a doxastic interpretation), or that it is not ruled out by the accepted legal or moral requirements (a deontic interpretation), or that it has not always been or will not always be false (a temporal interpretation). These interpre- tations are sometimes contrasted with alethic modalities, which are thought to express the ways (‘modes’) in which a proposition can be true or false. For example, logical pos- sibility and physical (real or substantive) possibility are alethic modalities. The basic modal concepts are represented in systems of modal logic as propositional operators; thus they are regarded as syntactically analogous to the concept of negation and other propositional connectives. The main difference between modal operators and other connectives is that the former are not truth-functional; the truth-value (truth or falsity) of a modal sentence is not determined by the truth-values of its subsentences. The concept of possibility (‘it is possible that’ or ‘possibly’) is usually symbolized by ‡ and the concept of necessity (‘it is necessary that’ or ‘necessarily’) by ᮀ; thus the modal formula ‡p represents the sentence form ‘it is possible that p’ or ‘possibly p,’ and ᮀp should be read ‘it is necessary that p.’ Modal operators can be defined in terms of each other: ‘it is possible that p’ means the same as ‘it is not necessary that not-p’; thus ‡p can be regarded as an abbreviation of ÿᮀÿp, where ÿ is the sign of negation, and ᮀp is logically equivalent to ÿ‡ÿp.