Results for 'quantifier complexity'

965 found
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  1.  52
    The quantifier complexity of polynomial‐size iterated definitions in first‐order logic.Samuel R. Buss & Alan S. Johnson - 2010 - Mathematical Logic Quarterly 56 (6):573-590.
    We refine the constructions of Ferrante-Rackoff and Solovay on iterated definitions in first-order logic and their expressibility with polynomial size formulas. These constructions introduce additional quantifiers; however, we show that these extra quantifiers range over only finite sets and can be eliminated. We prove optimal upper and lower bounds on the quantifier complexity of polynomial size formulas obtained from the iterated definitions. In the quantifier-free case and in the case of purely existential or universal quantifiers, we show (...)
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  2.  32
    On the quantifier complexity of Δ n+1 (T)– induction.A. Cordón-Franco, A. Fernández-Margarit & F. F. Lara-Martín - 2004 - Archive for Mathematical Logic 43 (3):371-398.
    In this paper we continue the study of the theories IΔ n+1 (T), initiated in [7]. We focus on the quantifier complexity of these fragments and theirs (non)finite axiomatization. A characterization is obtained for the class of theories such that IΔ n+1 (T) is Π n+2 –axiomatizable. In particular, IΔ n+1 (IΔ n+1 ) gives an axiomatization of Th Π n+2 (IΔ n+1 ) and is not finitely axiomatizable. This fact relates the fragment IΔ n+1 (IΔ n+1 ) (...)
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  3.  47
    On the quantifier complexity of definable canonical Henselian valuations.Arno Fehm & Franziska Jahnke - 2015 - Mathematical Logic Quarterly 61 (4-5):347-361.
  4.  79
    Using self‐dissimilarity to quantify complexity.David H. Wolpert & William Macready - 2007 - Complexity 12 (3):77-85.
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  5. Computational Complexity of Polyadic Lifts of Generalized Quantifiers in Natural Language.Jakub Szymanik - 2010 - Linguistics and Philosophy 33 (3):215-250.
    We study the computational complexity of polyadic quantifiers in natural language. This type of quantification is widely used in formal semantics to model the meaning of multi-quantifier sentences. First, we show that the standard constructions that turn simple determiners into complex quantifiers, namely Boolean operations, iteration, cumulation, and resumption, are tractable. Then, we provide an insight into branching operation yielding intractable natural language multi-quantifier expressions. Next, we focus on a linguistic case study. We use computational complexity (...)
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  6. Quantifiers in TIME and SPACE. Computational Complexity of Generalized Quantifiers in Natural Language.Jakub Szymanik - 2009 - Dissertation, University of Amsterdam
    In the dissertation we study the complexity of generalized quantifiers in natural language. Our perspective is interdisciplinary: we combine philosophical insights with theoretical computer science, experimental cognitive science and linguistic theories. -/- In Chapter 1 we argue for identifying a part of meaning, the so-called referential meaning (model-checking), with algorithms. Moreover, we discuss the influence of computational complexity theory on cognitive tasks. We give some arguments to treat as cognitively tractable only those problems which can be computed in (...)
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  7. The Computational Complexity of Quantified Reciprocals.Jakub Szymanik - 2009 - In Peter Bosch, David Gabelaia & Jérôme Lang, Lecture Notes on Artificial Intelligence 5422, Logic, Language, and Computation 7th International Tbilisi Symposium on Logic, Language, and Computation. Springer.
    We study the computational complexity of reciprocal sentences with quantified antecedents. We observe a computational dichotomy between different interpretations of reciprocity, and shed some light on the status of the so-called Strong Meaning Hypothesis.
     
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  8. Complex demonstratives as quantifiers: objections and replies.Jeffrey C. King - 2008 - Philosophical Studies 141 (2):209-242.
    In “Complex Demonstratives: A Quantificational Account” (MIT Press 2001) (henceforth CD), I argued that complex demonstratives are quantifiers. Many philosophers had held that demonstratives, both simple and complex, are referring terms. Since the publication of CD various objections to the account of complex demonstratives I defended in it have been raised. In the present work, I lay out these objections and respond to them.
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  9.  25
    A definable Henselian valuation with high quantifier complexity.Immanuel Halupczok & Franziska Jahnke - 2015 - Mathematical Logic Quarterly 61 (4-5):362-366.
  10.  95
    Computational complexity of some Ramsey quantifiers in finite models.Marcin Mostowski & Jakub Szymanik - 2007 - Bulletin of Symbolic Logic 13:281--282.
    The problem of computational complexity of semantics for some natural language constructions – considered in [M. Mostowski, D. Wojtyniak 2004] – motivates an interest in complexity of Ramsey quantifiers in finite models. In general a sentence with a Ramsey quantifier R of the following form Rx, yH(x, y) is interpreted as ∃A(A is big relatively to the universe ∧A2 ⊆ H). In the paper cited the problem of the complexity of the Hintikka sentence is reduced to (...)
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  11.  53
    Complexity of the two-variable fragment with counting quantifiers.Ian Pratt-Hartmann - 2005 - Journal of Logic, Language and Information 14 (3):369-395.
    The satisfiability and finite satisfiability problems for the two-variable fragment of first-order logic with counting quantifiers are both in NEXPTIME, even when counting quantifiers are coded succinctly.
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  12.  53
    Quantifying the complexity of flow networks: How many roles are there?Alexander C. Zorach & Robert E. Ulanowicz - 2003 - Complexity 8 (3):68-76.
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  13. Muddy Children, Generalized Quantifiers and Internal Complexity.Nina Gierasimczuk - unknown
    This paper generalizes Muddy Children puzzle to account for a large class of possible public announcements with various quantifiers. We identify conditions for solvability of the extended puzzle, with its classical version as a particular case. The characterization suggests a novel way of modeling multi-agent epistemic reasoning. The framework is based on the concept of number triangle. The advantage of our approach over more general formalizations in epistemic logics, like Dynamic Epistemic Logic, is that it gives models of linear size (...)
     
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  14.  30
    The Complexity of Bounded Quantifiers in Some Ordered Abelian Groups.Philip Scowcroft - 2007 - Notre Dame Journal of Formal Logic 48 (4):521-550.
    This paper obtains lower and upper bounds for the number of alternations of bounded quantifiers needed to express all formulas in certain ordered Abelian groups admitting elimination of unbounded quantifiers. The paper also establishes model-theoretic tests for equivalence to a formula with a given number of alternations of bounded quantifiers.
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  15.  5
    Sharpening complexity results in quantified probability logic.Stanislav O. Speranski - forthcoming - Logic Journal of the IGPL.
    We shall be concerned with two natural expansions of the quantifier-free ‘polynomial’ probability logic of Fagin et al. (A logic for reasoning about probabilities, Inform Comput, 1990; 87:78–128). One of these, denoted by ${\textsf{QPL}}^{\textrm{e}}$, is obtained by adding quantifiers over arbitrary events, and the other, denoted by $\underline{{\textsf{QPL}}}^{\textrm{e}}$, uses quantifiers over propositional formulas—or equivalently, over events expressible by such formulas. The earlier proofs of the complexity lower bound results for ${\textsf{QPL}}^{\textrm{e}}$ and $\underline{{\textsf{QPL}}}^{\textrm{e}}$ relied heavily on multiplication, and therefore (...)
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  16.  73
    Coherence and Computational Complexity of Quantifier-free Dependence Logic Formulas.Jarmo Kontinen - 2013 - Studia Logica 101 (2):267-291.
    We study the computational complexity of the model checking problem for quantifier-free dependence logic ${(\mathcal{D})}$ formulas. We characterize three thresholds in the complexity: logarithmic space (LOGSPACE), non-deterministic logarithmic space (NL) and non-deterministic polynomial time (NP).
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  17.  54
    Three complexity problems in quantified fuzzy logic.Franco Montagna - 2001 - Studia Logica 68 (1):143-152.
    We prove that the sets of standard tautologies of predicate Product Logic and of predicate Basic Logic, as well as the set of standard-satisfiable formulas of predicate Basic Logic are not arithmetical, thus finding a rather satisfactory solution to three problems proposed by Hájek in [H01].
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  18.  28
    Computational complexity of quantifier-free negationless theory of field of rational numbers.Nikolai Kossovski - 2001 - Annals of Pure and Applied Logic 113 (1-3):175-180.
    The following result is an approximation to the answer of the question of Kokorin about decidability of a quantifier-free theory of field of rational numbers. Let Q0 be a subset of the set of all rational numbers which contains integers 1 and −1. Let be a set containing Q0 and closed by the functions of addition, subtraction and multiplication. For example coincides with Q0 if Q0 is the set of all binary rational numbers or the set of all decimal (...)
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  19.  74
    Descriptive complexity of finite structures: Saving the quantifier rank.Oleg Pikhurko & Oleg Verbitsky - 2005 - Journal of Symbolic Logic 70 (2):419-450.
    We say that a first order formula Φ distinguishes a structure M over a vocabulary L from another structure M' over the same vocabulary if Φ is true on M but false on M'. A formula Φ defines an L-structure M if Φ distinguishes M from any other non-isomorphic L-structure M'. A formula Φ identifies an n-element L-structure M if Φ distinguishes M from any other non-isomorphic n-element L-structure M'. We prove that every n-element structure M is identifiable by a (...)
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  20.  68
    Almost All Complex Quantifiers are Simple.Jakub Szymanik - 2010 - In C. Ebert, G. Jäger, M. Kracht & J. Michaelis, Mathematics of Language 10/11, Lecture Notes in Computer Science 6149. Springer.
    We prove that PTIME generalized quantifiers are closed under Boolean operations, iteration, cumulation and resumption. -/- .
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  21.  37
    Computational complexity explains neural differences in quantifier verification.Heming Strømholt Bremnes, Jakub Szymanik & Giosuè Baggio - 2022 - Cognition 223 (C):105013.
  22.  21
    Learning complex action models with quantifiers and logical implications.Hankz Hankui Zhuo, Qiang Yang, Derek Hao Hu & Lei Li - 2010 - Artificial Intelligence 174 (18):1540-1569.
  23.  28
    Quantifying the complexity of chaos in multibasin multidimensional dynamics of molecular systems.Dmitry Nerukh, George Karvounis & Robert C. Glen - 2004 - Complexity 10 (2):40-46.
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  24. Coherence and complexity of quantifier-free dependence logic formulas.Jarmo Kontinen - forthcoming - Studia Logica.
  25.  21
    Complexity Measures for Quantifying Changes in Electroencephalogram in Alzheimer’s Disease.Ali H. Husseen Al-Nuaimi, Emmanuel Jammeh, Lingfen Sun & Emmanuel Ifeachor - 2018 - Complexity 2018:1-12.
  26. Quantifying-in Uses of Complex Demonstratives and the Semantics of Quantification.Geoff Georgi - 2016 - In Piotr Stalmaszczyk, Philosophical and Linguistic Analyses of Reference. New York: Peter Lang. pp. 143-154.
     
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  27.  39
    Computational complexity of some Ramsey quantifiers in finite models.Marcin Mostowski Jakub Szymanik & M. Mostowski - 2007 - Bulletin of Symbolic Logic 13:281-282.
  28. On the Quantified Account of Complex Demonstratives.Nilanjan Bhowmick - 2016 - Journal of the Indian Council of Philosophical Research 33 (3):451-463.
    This paper argues for a different logical form for complex demonstratives, given that the quantificational account is correct. In itself that is controversial, but two aspects will be assumed. Firstly, there are arguments to believe that complex demonstratives have quantificational uses. Specifically, there are syntactic arguments. Secondly, a uniform semantics is preferable to a semantics of ambiguity. Given this, the proposed logical forms for complex demonstratives that are prevalent do not respect a fundamental property of quantifiers: permutation invariance. The reason (...)
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  29.  31
    Pluractionality and Complex Quantifier Formation.Malte Zimmermann - 2003 - Natural Language Semantics 11 (3):249-287.
    This paper investigates the effects of (surface) DP-internal quantifying expressions on semantic interpretation. In particular, I investigate two syntactic constructions in which an adjective takes scope out of its embedding DP, thus raising an interesting question for strict compositionality. Regarding the first construction, I follow Larson (1999) and assume that the adjective incorporates into the determiner of its DP, forming a complex quantifier [D+A]. I present new evidence in favor of this analysis. Since Larson's semantic analysis of complex quantifiers (...)
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  30.  91
    Quantifiers and Cognition: Logical and Computational Perspectives.Jakub Szymanik - 2016 - Springer.
    This volume on the semantic complexity of natural language explores the question why some sentences are more difficult than others. While doing so, it lays the groundwork for extending semantic theory with computational and cognitive aspects by combining linguistics and logic with computations and cognition. -/- Quantifier expressions occur whenever we describe the world and communicate about it. Generalized quantifier theory is therefore one of the basic tools of linguistics today, studying the possible meanings and the inferential (...)
  31.  94
    Temporal Sequences Quantify the Contributions of Individual Fixations in Complex Perceptual Matching Tasks.Thomas Busey, Chen Yu, Dean Wyatte & John Vanderkolk - 2013 - Cognitive Science 37 (4):731-756.
    Perceptual tasks such as object matching, mammogram interpretation, mental rotation, and satellite imagery change detection often require the assignment of correspondences to fuse information across views. We apply techniques developed for machine translation to the gaze data recorded from a complex perceptual matching task modeled after fingerprint examinations. The gaze data provide temporal sequences that the machine translation algorithm uses to estimate the subjects' assumptions of corresponding regions. Our results show that experts and novices have similar surface behavior, such as (...)
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  32.  34
    Second-order quantifiers and the complexity of theories.J. T. Baldwin & S. Shelah - 1985 - Notre Dame Journal of Formal Logic 26 (3):229-303.
  33.  38
    Quantified Modal Logic, Dynamic Semantics and S 5.Paul Gochet & Eric Gillet - 1999 - Dialectica 53 (3‐4):243-251.
    Prof. Ruth Barcan Marcus created quantified modal logic in 1946. She extended the Lewis calculus S2 to cover quantification. Quantified modal logic became an essential tool for the rigorous study of natural language in the hands of R. Montague in the late sixties. Some complex phenomena cannot be properly handled at the level of sentences. Recent researches in formal semantics have concentrated on discourse and led to a rich amount of results. Logical theories introduced for the logical study of programs (...)
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  34.  25
    Quantifier Elimination for the Reals with a Predicate for the Powers of Two.Jeremy Avigad & Yimu Yin - unknown
    In 1985, van den Dries showed that the theory of the reals with a predicate for the integer powers of two admits quantifier elimination in an expanded language, and is hence decidable. He gave a model-theoretical argument, which provides no apparent bounds on the complexity of a decision procedure. We provide a syntactical argument that yields a procedure that is primitive recursive, although not elementary.
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  35. Quantified Coalition Logic.Thomas Ågotnes, Wiebe van der Hoek & Michael Wooldridge - 2008 - Synthese 165 (2):269 - 294.
    We add a limited but useful form of quantification to Coalition Logic, a popular formalism for reasoning about cooperation in game-like multi-agent systems. The basic constructs of Quantified Coalition Logic (QCL) allow us to express such properties as "every coalition satisfying property P can achieve φ" and "there exists a coalition C satisfying property P such that C can achieve φ". We give an axiomatisation of QCL, and show that while it is no more expressive than Coalition Logic, it is (...)
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  36.  40
    Generalized quantifiers and modal logic.Wiebe Hoek & Maarten Rijke - 1993 - Journal of Logic, Language and Information 2 (1):19-58.
    We study several modal languages in which some (sets of) generalized quantifiers can be represented; the main language we consider is suitable for defining any first order definable quantifier, but we also consider a sublanguage thereof, as well as a language for dealing with the modal counterparts of some higher order quantifiers. These languages are studied both from a modal logic perspective and from a quantifier perspective. Thus the issues addressed include normal forms, expressive power, completeness both of (...)
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  37.  50
    Using Multiscale Entropy to Quantify the Complexity of Neural Systems during the Process of Cognitive Control.Liang Wei-Kuang & Juan Chi-Hung - 2015 - Frontiers in Human Neuroscience 9.
  38.  14
    Parametric Presburger arithmetic: complexity of counting and quantifier elimination.Tristram Bogart, John Goodrick, Danny Nguyen & Kevin Woods - 2019 - Mathematical Logic Quarterly 65 (2):237-250.
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  39. Generalized quantifiers and modal logic.Wiebe Van Der Hoek & Maarten De Rijke - 1993 - Journal of Logic, Language and Information 2 (1):19-58.
    We study several modal languages in which some (sets of) generalized quantifiers can be represented; the main language we consider is suitable for defining any first order definable quantifier, but we also consider a sublanguage thereof, as well as a language for dealing with the modal counterparts of some higher order quantifiers. These languages are studied both from a modal logic perspective and from a quantifier perspective. Thus the issues addressed include normal forms, expressive power, completeness both of (...)
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  40.  98
    Axiomatizations of hyperbolic geometry: A comparison based on language and quantifier type complexity.Victor Pambuccian - 2002 - Synthese 133 (3):331 - 341.
    Hyperbolic geometry can be axiomatized using the notions of order andcongruence (as in Euclidean geometry) or using the notion of incidencealone (as in projective geometry). Although the incidence-based axiomatizationmay be considered simpler because it uses the single binary point-linerelation of incidence as a primitive notion, we show that it issyntactically more complex. The incidence-based formulation requires some axioms of the quantifier-type forallexistsforall, while the axiom system based on congruence and order can beformulated using only forallexists-axioms.
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  41. Unifying Quantified Modal Logic.James W. Garson - 2005 - Journal of Philosophical Logic 34 (5-6):621-649.
    Quantified modal logic has reputation for complexity. Completeness results for the various systems appear piecemeal. Different tactics are used for different systems, and success of a given method seems sensitive to many factors, including the specific combination of choices made for the quantifiers, terms, identity, and the strength of the underlying propositional modal logic. The lack of a unified framework in which to view QMLs and their completeness properties puts pressure on those who develop, apply, and teach QML to (...)
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  42.  30
    The Role of Quantifier Alternations in Cut Elimination.Philipp Gerhardy - 2005 - Notre Dame Journal of Formal Logic 46 (2):165-171.
    Extending previous results from work on the complexity of cut elimination for the sequent calculus LK, we discuss the role of quantifier alternations and develop a measure to describe the complexity of cut elimination in terms of quantifier alternations in cut formulas and contractions on such formulas.
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  43. Quantifying information in structural representations.Stephen Francis Mann - 2024 - Theoria. An International Journal for Theory, History and Foundations of Science:1-27.
    The goal of this paper is to show that the information carried by a structural representation can be decomposed into the information carried by its component parts. In particular, the relations between the components of a structural representation carry quantifiable information about the relations between components of their signifieds. It follows that the information carried by cognitive structural representations, including cognitive maps, can in principle be quantified and decomposed. This is perhaps surprising given that the formal tools of communication theory (...)
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  44.  29
    The complexity of plane hyperbolic incidence geometry is∀∃∀∃.Victor Pambuccian - 2005 - Mathematical Logic Quarterly 51 (3):277-281.
    We show that plane hyperbolic geometry, expressed in terms of points and the ternary relation of collinearity alone, cannot be expressed by means of axioms of complexity at most ∀∃∀, but that there is an axiom system, all of whose axioms are ∀∃∀∃ sentences. This remains true for Klingenberg's generalized hyperbolic planes, with arbitrary ordered fields as coordinate fields.
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  45.  72
    Relativized logspace and generalized quantifiers over finite ordered structures.Georg Gottlob - 1997 - Journal of Symbolic Logic 62 (2):545-574.
    We here examine the expressive power of first order logic with generalized quantifiers over finite ordered structures. In particular, we address the following problem: Given a family Q of generalized quantifiers expressing a complexity class C, what is the expressive power of first order logic FO(Q) extended by the quantifiers in Q? From previously studied examples, one would expect that FO(Q) captures L C , i.e., logarithmic space relativized to an oracle in C. We show that this is not (...)
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  46.  87
    A Computational Approach to Quantifiers as an Explanation for Some Language Impairments in Schizophrenia.Marcin Zajenkowski, Rafał Styła & Jakub Szymanik - 2011 - Journal of Communication Disorder 44:2011.
    We compared the processing of natural language quantifiers in a group of patients with schizophrenia and a healthy control group. In both groups, the difficulty of the quantifiers was consistent with computational predictions, and patients with schizophrenia took more time to solve the problems. However, they were significantly less accurate only with proportional quantifiers, like more than half. This can be explained by noting that, according to the complexity perspective, only proportional quantifiers require working memory engagement.
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  47.  93
    Cognitive complexity of suppositional reasoning: An application of the relational complexity metric to the Knight-knave task.Damian P. Birney & Graeme S. Halford - 2002 - Thinking and Reasoning 8 (2):109 – 134.
    An application of the Method of Analysis of Relational Complexity (MARC) to suppositional reasoning in the knight-knave task is outlined. The task requires testing suppositions derived from statements made by individuals who either always tell the truth or always lie. Relational complexity (RC) is defined as the number of unique entities that need to be processed in parallel to arrive at a solution. A selection of five ternary and five quaternary items were presented to 53 psychology students using (...)
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  48. Understanding Quantifiers in Language.Jakub Szymanik & Marcin Zajenkowski - 2009 - In N. A. Taatgen & H. van Rijn, Proceedings of the 31st Annual Conference of the Cognitive Science Society.
    We compare time needed for understanding different types of quantifiers. We show that the computational distinction between quantifiers recognized by finite-automata and pushdown automata is psychologically relevant. Our research improves upon hypothesis and explanatory power of recent neuroimaging studies as well as provides evidence for the claim that human linguistic abilities are constrained by computational complexity.
     
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  49.  40
    Quantified Self as Epistemological Anarchism.Simona Chiodo - 2022 - Philosophia 50 (4):1665-1685.
    The phenomenon of the quantified self, which is especially addressed by sociology and medical humanities, is still quite disregarded by philosophy. Yet, the philosophical issues it raises are various and meaningful, from the realm of epistemology to the realm of ethics. Moreover, it may be read as a key symptom to investigate the complex technological era in which we live, starting from the meaning of contemporary technology itself from a philosophical perspective. I shall focus on one of the epistemological issues (...)
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  50. Comprehension of Simple Quantifiers: Empirical Evaluation of a Computational Model.Jakub Szymanik & Marcin Zajenkowski - 2010 - Cognitive Science 34 (3):521-532.
    We examine the verification of simple quantifiers in natural language from a computational model perspective. We refer to previous neuropsychological investigations of the same problem and suggest extending their experimental setting. Moreover, we give some direct empirical evidence linking computational complexity predictions with cognitive reality.<br>In the empirical study we compare time needed for understanding different types of quantifiers. We show that the computational distinction between quantifiers recognized by finite-automata and push-down automata is psychologically relevant. Our research improves upon hypothesis (...)
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