Results for 'Descriptive complexity'

963 found
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  1. Descriptive Complexity, Computational Tractability, and the Logical and Cognitive Foundations of Mathematics.Markus Pantsar - 2021 - Minds and Machines 31 (1):75-98.
    In computational complexity theory, decision problems are divided into complexity classes based on the amount of computational resources it takes for algorithms to solve them. In theoretical computer science, it is commonly accepted that only functions for solving problems in the complexity class P, solvable by a deterministic Turing machine in polynomial time, are considered to be tractable. In cognitive science and philosophy, this tractability result has been used to argue that only functions in P can feasibly (...)
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  2. (2 other versions)Descriptive complexity theories.Joerg Flum - 2003 - Theoria 18 (1):47-58.
    In this article we review some of the main results of descriptive complexity theory in order to make the reader familiar with the nature of the investigations in this area. We start by presenting the characterization of automata recognizable languages by monadic second-order logic. Afterwards we explain the characterization of various logics by fIxed-point logics. We assume familiarity with logic but try to keep knowledge of complexity theory to aminimum.
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  3.  37
    Descriptive Complexity in Cantor Series.Dylan Airey, Steve Jackson & Bill Mance - 2022 - Journal of Symbolic Logic 87 (3):1023-1045.
    A Cantor series expansion for a real number x with respect to a basic sequence $Q=(q_1,q_2,\dots )$, where $q_i \geq 2$, is a generalization of the base b expansion to an infinite sequence of bases. Ki and Linton in 1994 showed that for ordinary base b expansions the set of normal numbers is a $\boldsymbol {\Pi }^0_3$ -complete set, establishing the exact complexity of this set. In the case of Cantor series there are three natural notions of normality: normality, (...)
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  4.  26
    On the descriptive complexity of two disjoint paths problem over undirected graphs.Haroldo G. Benatti & Ruy Jgb de Queiroz - 2006 - Bulletin of the Section of Logic 35 (4):195-214.
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  5.  1
    The descriptive complexity of the set of Poisson generic numbers.Verónica Becher, Stephen Jackson, Dominik Kwietniak & Bill Mance - 2024 - Journal of Mathematical Logic 25 (2).
    Journal of Mathematical Logic, Volume 25, Issue 02, August 2025. Let [math] be an integer. We show that the set of real numbers that are Poisson generic in base b is [math]-complete in the Borel hierarchy of subsets of the real line. Furthermore, the set of real numbers that are Borel normal in base b and not Poisson generic in base b is complete for the class given by the differences between [math] sets. We also show that the effective versions (...)
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    The descriptive complexity of the set of Poisson generic numbers.Verónica Becher, Stephen Jackson, Dominik Kwietniak & Bill Mance - 2025 - Journal of Mathematical Logic 25 (2).
    Let [Formula: see text] be an integer. We show that the set of real numbers that are Poisson generic in base b is [Formula: see text]-complete in the Borel hierarchy of subsets of the real line. Furthermore, the set of real numbers that are Borel normal in base b and not Poisson generic in base b is complete for the class given by the differences between [Formula: see text] sets. We also show that the effective versions of these results hold (...)
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  7.  32
    Descriptive complexity of graph spectra.Anuj Dawar, Simone Severini & Octavio Zapata - 2019 - Annals of Pure and Applied Logic 170 (9):993-1007.
  8.  41
    Descriptive complexity of modularity problems on graphs.Haroldo G. Benatti & Ruy Jgb de Queiroz - 2005 - Bulletin of the Section of Logic 34 (2):61-75.
  9.  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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  10.  22
    Classical and effective descriptive complexities of ω -powers.Olivier Finkel & Dominique Lecomte - 2009 - Annals of Pure and Applied Logic 160 (2):163-191.
    We prove that, for each countable ordinal ξ≥1, there exist some -complete ω-powers, and some -complete ω-powers, extending previous works on the topological complexity of ω-powers [O. Finkel, Topological properties of omega context free languages, Theoretical Computer Science 262 669–697; O. Finkel, Borel hierarchy and omega context free languages, Theoretical Computer Science 290 1385–1405; O. Finkel, An omega-power of a finitary language which is a borel set of infinite rank, Fundamenta informaticae 62 333–342; D. Lecomte, Sur les ensembles de (...)
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  11.  72
    Finite variable logics in descriptive complexity theory.Martin Grohe - 1998 - Bulletin of Symbolic Logic 4 (4):345-398.
    Throughout the development of finite model theory, the fragments of first-order logic with only finitely many variables have played a central role. This survey gives an introduction to the theory of finite variable logics and reports on recent progress in the area.For each k ≥ 1 we let Lk be the fragment of first-order logic consisting of all formulas with at most k variables. The logics Lk are the simplest finite-variable logics. Later, we are going to consider infinitary variants and (...)
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  12.  35
    The collapse of the descriptive complexity of truth definitions. Completions of Heyting and Boolean algebras.A. G. Dragalin - 1991 - Bulletin of the Section of Logic 20 (3/4):94-95.
  13.  36
    Effective bounds for convergence, descriptive complexity, and natural examples of simple and hypersimple sets.Andrej Muchnik & Alexei Semenov - 2006 - Annals of Pure and Applied Logic 141 (3):437-441.
    Let μ be a universal lower enumerable semi-measure . Any computable upper bound for μ can be effectively separated from zero with a constant . Computable positive lower bounds for μ can be nontrivial and allow one to construct natural examples of hypersimple sets.
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  14.  44
    Neil Immerman. Descriptive complexity. Graduate texts in computer science. Springer, New York, Berlin, and Heidelberg, 1999, xvi + 268 pp. [REVIEW]Steven Lindell - 2001 - Bulletin of Symbolic Logic 7 (4):525-527.
  15.  21
    M. Grohe, Descriptive Complexity, Canonisation, and Definable Graph Structure Theory, Cambridge University Press, Cambridge, 2017, x + 544 pp. [REVIEW]Luc Segoufin - 2017 - Bulletin of Symbolic Logic 23 (4):493-494.
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  16.  21
    Complexity of Index Sets of Descriptive Set-Theoretic Notions.Reese Johnston & Dilip Raghavan - 2022 - Journal of Symbolic Logic 87 (3):894-911.
    Descriptive set theory and computability theory are closely-related fields of logic; both are oriented around a notion of descriptive complexity. However, the two fields typically consider objects of very different sizes; computability theory is principally concerned with subsets of the naturals, while descriptive set theory is interested primarily in subsets of the reals. In this paper, we apply a generalization of computability theory, admissible recursion theory, to consider the relative complexity of notions that are of (...)
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  17.  18
    Limit complexities, minimal descriptions, and N-randomness.Rodney Graham Downey, Lu Liu, Keng Meng Ng & Daniel Turetsky - forthcoming - Journal of Symbolic Logic:1-16.
    Let K denote prefix-free Kolmogorov complexity, and let $K^A$ denote it relative to an oracle A. We show that for any n, $K^{\emptyset ^{(n)}}$ is definable purely in terms of the unrelativized notion K. It was already known that 2-randomness is definable in terms of K (and plain complexity C) as those reals which infinitely often have maximal complexity. We can use our characterization to show that n-randomness is definable purely in terms of K. To do this (...)
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  18.  26
    Data complexity of query answering in description logics.Diego Calvanese, Giuseppe De Giacomo, Domenico Lembo, Maurizio Lenzerini & Riccardo Rosati - 2013 - Artificial Intelligence 195 (C):335-360.
  19. Complexities of the attributive use of definite descriptions.Rodrigo Jungmann de Castro - 2023 - ARGUMENTOS - Revista de Filosofia 15 (29):186-196.
    Keith S. Donnellan’s article “Reference and Definite Descriptions” (1966) was written with the intention of showing that the theories of Bertrand Russell and Peter F. Strawson equally fail to capture the actual linguistic use of definite descriptions. With this end, Donnellan dwells on the distinction between the attributive and referential uses. However, the situation is complicated for Donnellan in light of the fact that many conceivable uses of definite descriptions do not seem to fit into either category. There are uses (...)
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  20. Stochastic description of complex and simple spike firing in cerebellar Purkinje cells.Soon-Lim Shin - unknown
    Cerebellar Purkinje cells generate two distinct types of spikes, complex and simple spikes, both of which have conventionally been considered to be highly irregular, suggestive of certain types of stochastic processes as underlying mechanisms. Interestingly, however, the interspike interval structures of complex spikes have not been carefully studied so far. We showed in a previous study that simple spike trains are actually composed of regular patterns and single interspike intervals, a mixture that could not be explained by a simple rate-modulated (...)
     
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  21.  30
    The descriptive set-theoretical complexity of the embeddability relation on models of large size.Luca Motto Ros - 2013 - Annals of Pure and Applied Logic 164 (12):1454-1492.
    We show that if κ is a weakly compact cardinal then the embeddability relation on trees of size κ is invariantly universal. This means that for every analytic quasi-order R on the generalized Cantor space View the MathML source there is an Lκ+κ-sentence φ such that the embeddability relation on its models of size κ, which are all trees, is Borel bi-reducible to R. In particular, this implies that the relation of embeddability on trees of size κ is complete for (...)
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  22.  30
    On Qualitative Route Descriptions: Representation, Agent Models, and Computational Complexity.Matthias Westphal, Stefan Wölfl, Bernhard Nebel & Jochen Renz - 2015 - Journal of Philosophical Logic 44 (2):177-201.
    The generation of route descriptions is a fundamental task of navigation systems. A particular problem in this context is to identify routes that can easily be described and processed by users. In this work, we present a framework for representing route networks with the qualitative information necessary to evaluate and optimize route descriptions with regard to ambiguities in them. We identify different agent models that differ in how agents are assumed to process route descriptions while navigating through route networks and (...)
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  23.  32
    Task complexity moderates the influence of descriptions in decisions from experience.Leonardo Weiss-Cohen, Emmanouil Konstantinidis, Maarten Speekenbrink & Nigel Harvey - 2018 - Cognition 170 (C):209-227.
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  24. The Difficulty of Understanding: Complexity and Simplicity in Moral Psychological Description.Camilla Kronqvist & Natan Elgabsi - 2021 - Scientia Moralitas 6 (2):78-103.
    The social intuitionist approach to moral judgments advanced by social psychologist Jonathan Haidt presupposes that it is possible to provide an explanation of the human moral sense without normative implications. By contrast, Iris Murdoch’s philosophical work on moral psychology suggests that every description of morality necessarily involves evaluative features that reveal the thinker’s own moral attitudes and implicit philosophical pictures. In the light of this, we contend that Haidt’s treatment of the story about Julie and Mark, two siblings who decide (...)
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  25. A Taxonomy of the Complexities of Embedded Narratives in Film: From Literary Description Simulation to the Visuality-Triggered Self-Referential Fallacy.Yu Yang & Yarong Zeng - 2024 - Innovación y Expresión: Un Recorrido Por Las Artes, la Cultura Visual y la Inteligencia Artificial En la Era Digital.
    The article will be divided into three parts: 1. Explain the literary origins of the nesting pattern and its relationship to cinema narrative, and analyse the nesting tactics commonly used in films under Hollywood’s classical narrative. 2. Describe the variations in nested structures in films made in the 1990s, focusing on self-reflexive nesting, which emerged as a new model beyond conventional nesting during this period. 3. Distinguish the literary style of embedded narratives from the visual recognition mode and provide an (...)
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  26. Descriptions.Stephen Neale - 1990 - MIT Press.
    When philosophers talk about descriptions, usually they have in mind singular definite descriptions such as ‘the finest Greek poet’ or ‘the positive square root of nine’, phrases formed with the definite article ‘the’. English also contains indefinite descriptions such as ‘a fine Greek poet’ or ‘a square root of nine’, phrases formed with the indefinite article ‘a’ (or ‘an’); and demonstrative descriptions (also known as complex demonstratives) such as ‘this Greek poet’ and ‘that tall woman’, formed with the demonstrative articles (...)
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  27. Seeing and speaking: How verbal 'description length' encodes visual complexity.Zekun Sun & Chaz Firestone - 2021 - Journal of Experimental Psychology: General (1):82-96.
    What is the relationship between complexity in the world and complexity in the mind? Intuitively, increasingly complex objects and events should give rise to increasingly complex mental representations (or perhaps a plateau in complexity after a certain point). However, a counterintuitive possibility with roots in information theory is an inverted U-shaped relationship between the “objective” complexity of some stimulus and the complexity of its mental representation, because excessively complex patterns might be characterized by surprisingly short (...)
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  28.  32
    On irreducible description of complex systems.Victor Korotkikh & Galina Korotkikh - 2009 - Complexity 14 (5):40-46.
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  29.  18
    Understanding the complexity of axiom pinpointing in lightweight description logics.Rafael Peñaloza & Barış Sertkaya - 2017 - Artificial Intelligence 250 (C):80-104.
  30.  38
    Logics which capture complexity classes over the reals.Felipe Cucker & Klaus Meer - 1999 - Journal of Symbolic Logic 64 (1):363-390.
    In this paper we deal with the logical description of complexity classes arising in the real number model of computation introduced by Blum, Shub, and Smale [4]. We adapt the approach of descriptive complexity theory for this model developped in [14] and extend it to capture some further complexity classes over the reals by logical means. Among the latter we find NC R , PAR R , EXP R and some others more.
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  31.  16
    Alleviating suffering of individuals with multimorbidity and complex needs: A descriptive qualitative study.Ahtisham Younas & Shahzad Inayat - 2024 - Nursing Ethics 31 (2-3):189-201.
    Background Individuals living with multimorbidity and/or mental health issues, low education, socioeconomic status, and polypharmacy are often called complex patients. The complexity of their health and social care needs can make them prone to disease burden and suffering. Therefore, they frequently access health care services to seek guidance for managing their illness and suffering. Aims The aim of this research was to describe the approaches used by nurses to alleviate the suffering of individuals with multimorbidity and complex needs in (...)
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  32.  40
    A descriptive characterisation of linear languages.Tore Langholm - 2006 - Journal of Logic, Language and Information 15 (3):233-250.
    Lautemann et al. (1995) gave a descriptive characterisation of the class of context-free languages, showing that a language is context-free iff it is definable as the set of words satisfying some sentence of a particular logic (fragment) over words. The present notes discuss how to specialise this result to the class of linear languages. Somewhat surprisingly, what would seem the most straightforward specialisation actually fails, due to the fact that linear grammars fail to admit a Greibach normal form. We (...)
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  33. A Description Logic of Typicality for Conceptual Combination.Antonio Lieto & Gian Luca Pozzato - 2018 - In Antonio Lieto & Gian Luca Pozzato, Proceedings of ISMIS 18. Springer.
    We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of combining prototypical concepts, an open problem in the fields of AI and cognitive modelling. Our logic extends the logic of typicality ALC + TR, based on the notion of rational closure, by inclusions p :: T(C) v D (“we have probability p that typical Cs are Ds”), coming from the distributed semantics of probabilistic Description Logics. Additionally, it embeds a set of cognitive heuristics for concept (...)
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  34.  19
    A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic EL.Carsten Lutz & Leif Sabellek - 2022 - Artificial Intelligence 308 (C):103709.
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  35. Complexity and scientific modelling.Bruce Edmonds - 2000 - Foundations of Science 5 (3):379-390.
    It is argued that complexity is not attributable directly to systems or processes but rather to the descriptions of their `best' models, to reflect their difficulty. Thus it is relative to the modelling language and type of difficulty. This approach to complexity is situated in a model of modelling. Such an approach makes sense of a number of aspects of scientific modelling: complexity is not situated between order and disorder; noise can be explicated by approaches to excess (...)
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  36. The complexity-coherence tradeoff in cognition.David Thorstad - forthcoming - Mind.
    I present evidence for a systematic complexity-coherence tradeoff in cognition. I show how feasible strategies for increasing cognitive complexity along three dimensions come at the expense of a heightened vulnerability to incoherence. I discuss two normative implications of the complexity-coherence tradeoff: a novel challenge to coherence-based theories of bounded rationality and a new strategy for vindicating the rationality of seemingly irrational cognitions. I also discuss how the complexity-coherence tradeoff sharpens recent descriptive challenges to dual process (...)
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  37. Complexity Reality and Scientific Realism.Avijit Lahiri - manuscript
    We introduce the notion of complexity, first at an intuitive level and then in relatively more concrete terms, explaining the various characteristic features of complex systems with examples. There exists a vast literature on complexity, and our exposition is intended to be an elementary introduction, meant for a broad audience. -/- Briefly, a complex system is one whose description involves a hierarchy of levels, where each level is made of a large number of components interacting among themselves. The (...)
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  38.  74
    Biological Complexity and Integrative Pluralism.Sandra D. Mitchell - 2003 - Cambridge University Press.
    This fine collection of essays by a leading philosopher of science presents a defence of integrative pluralism as the best description for the complexity of scientific inquiry today. The tendency of some scientists to unify science by reducing all theories to a few fundamental laws of the most basic particles that populate our universe is ill-suited to the biological sciences, which study multi-component, multi-level, evolved complex systems. This integrative pluralism is the most efficient way to understand the different and (...)
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  39.  25
    Borel complexity and Ramsey largeness of sets of oracles separating complexity classes.Alex Creiner & Stephen Jackson - 2023 - Mathematical Logic Quarterly 69 (3):267-286.
    We prove two sets of results concerning computational complexity classes. First, we propose a new variation of the random oracle hypothesis, originally posed by Bennett and Gill after they showed that relative to a randomly chosen oracle, with probability 1. Their original hypothesis was quickly disproven in several ways, most famously in 1992 with the result that, in spite of the classes being shown unequal with probability 1. Here we propose a variation of what it means to be “large” (...)
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    Complex-Valued Classical Behavior from the Correspondence Limit of Quantum Mechanics with Two Boundary Conditions.Yakir Aharonov & Tomer Shushi - 2022 - Foundations of Physics 52 (3):1-7.
    The two-state-vector formalism presents a time-symmetric approach to the standard quantum mechanics, with particular importance in the description of experiments having pre- and post-selected ensembles. In this paper, using the correspondence limit of the quantum harmonic oscillator in the two-state-vector formalism, we produce harmonic oscillators that possess a classical behavior while having a complex-valued position and momentum. This allows us to discover novel effects that cannot be achieved otherwise. The proposed classical behavior does not describe the classical physics in the (...)
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  41. Complex emergence and the living organization: an epistemological framework for biology.Leonardo Bich - 2012 - Synthese 185 (2):215-232.
    In this article an epistemological framework is proposed in order to integrate the emergentist thought with systemic studies on biological autonomy, which are focused on the role of organization. Particular attention will be paid to the role of the observer’s activity, especially: (a) the different operations he performs in order to identify the pertinent elements at each descriptive level, and (b) the relationships between the different models he builds from them. According to the approach sustained here, organization will be (...)
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  42. Heuristics, Descriptions, and the Scope of Mechanistic Explanation.Carlos Zednik - 2015 - In Pierre-Alain Braillard & Christophe Malaterre, Explanation in Biology. An Enquiry into the Diversity of Explanatory Patterns in the Life Sciences. Dordrecht: Springer. pp. 295-318.
    The philosophical conception of mechanistic explanation is grounded on a limited number of canonical examples. These examples provide an overly narrow view of contemporary scientific practice, because they do not reflect the extent to which the heuristic strategies and descriptive practices that contribute to mechanistic explanation have evolved beyond the well-known methods of decomposition, localization, and pictorial representation. Recent examples from evolutionary robotics and network approaches to biology and neuroscience demonstrate the increasingly important role played by computer simulations and (...)
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  43.  33
    Essential Structure of Proofs as a Measure of Complexity.Jaime Ramos, João Rasga & Cristina Sernadas - 2020 - Logica Universalis 14 (2):209-242.
    The essential structure of proofs is proposed as the basis for a measure of complexity of formulas in FOL. The motivating idea was the recognition that distinct theorems can have the same derivation modulo some non essential details. Hence the difficulty in proving them is identical and so their complexity should be the same. We propose a notion of complexity of formulas capturing this property. With this purpose, we introduce the notions of schema calculus, schema derivation and (...)
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  44.  41
    Definite descriptions, misdescriptions and semantic content: different ways to solve a tricky puzzle.Justina Diaz Legaspe - 2009 - Análisis Filosófico 29 (2):159-166.
    Michael Devitt claims that the predicative material that constitutes complex referential expressions makes a semantic contribution to the proposition expressed. He thus deviates from direct referentialism, according to which every referential expression -either simple or complex- contributes just with an object to the proposition expressed, leaving the predicative material out of the semantic content. However, when dealing with misdescriptions, Devitt has suggested a pragmatic way out: the audience can understand what the speaker is referring to even if the object does (...)
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  45.  69
    Complexity: hierarchical structures and scaling in physics.R. Badii - 1997 - New York: Cambridge University Press. Edited by A. Politi.
    This is a comprehensive discussion of complexity as it arises in physical, chemical, and biological systems, as well as in mathematical models of nature. Common features of these apparently unrelated fields are emphasised and incorporated into a uniform mathematical description, with the support of a large number of detailed examples and illustrations. The quantitative study of complexity is a rapidly developing subject with special impact in the fields of physics, mathematics, information science, and biology. Because of the variety (...)
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  46.  9
    On reals with -bounded complexity and compressive power.Ian Herbert - 2016 - Journal of Symbolic Logic 81 (3):833-855.
    The Kolmogorov complexity of a finite binary string is the length of the shortest description of the string. This gives rise to some ‘standard’ lowness notions for reals: A isK-trivial if its initial segments have the lowest possible complexity and A is low forKif using A as an oracle does not decrease the complexity of strings by more than a constant factor. We weaken these notions by requiring the defining inequalities to hold only up to all${\rm{\Delta }}_2^0$orders, (...)
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    (1 other version)Complexity and truth in educational research.Mike Radford - 2008 - Educational Philosophy and Theory 40 (1):144–157.
    This paper considers the impact of complexity theory on the way in which we see propositions corresponding to the reality that they describe, and our concept of truth in that context. A contingently associated idea is the atomistic expectation that we can reduce language to primitive units of meaning, and tie those in with agreed units of experience. If we see both language and the reality that it describes and explains as complex, this position becomes difficult to maintain. (...) theory, with its emphasis on non‐linear and dynamic interactions between multiple variables, within indeterminate and transient systems, supports the case for a connectionist and holistic analysis. Theories are more likely to be under‐determined by evidence and open to interpretation, with the potential for ‘certainties’ weakened. If educational situations are complex, then the drive towards specific and focused research findings that will support policy and practice, and the associated notion of control, is illusory. Rather than providing evidence for prescription, research is thus understood as descriptive and explanatory, within a range of interpretative possibilities. Action takes place within a necessarily incomplete and constantly changing situation, more appropriately understood in terms of survival than control. (shrink)
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  48. 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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  49. Complex demonstratives.Emma Borg - 2000 - Philosophical Studies 97 (2):229-249.
    Some demonstrative expressions, those we might term ‘bare demonstratives’, appear without any appended descriptive content (e.g. occurrences of ‘this’ or ‘that’ simpliciter). However, it seems that the majority of demonstrative occurrences do not follow this model. ‘Complex demonstratives’ is the collective term I shall use for phrases formed by adjoining one or more common nouns to a demonstrative expression (e.g. ‘that cat’, ‘this happy man’) and I will call the combination of predicates immediately concatenated with the demonstrative in such (...)
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  50. Complex demonstratives, hidden arguments, and presupposition.Ethan Nowak - 2019 - Synthese 198 (4):2865-2900.
    Standard semantic theories predict that non-deictic readings for complex demonstratives should be much more widely available than they in fact are. If such readings are the result of a lexical ambiguity, as Kaplan (in: Almog, Perry, Wettstein (eds) Themes from Kaplan, Oxford University Press, Oxford, 1977) and others suggest, we should expect them to be available wherever a definite description can be used. The same prediction follows from ‘hidden argument’ theories like the ones described by King (Complex Demonstratives: a Quantificational (...)
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