Results for 'Theory Classification'

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  1. Stakeholder Theory Classification: A Theoretical and Empirical Evaluation of Definitions.Samantha Miles - 2017 - Journal of Business Ethics 142 (3):437-459.
    Stakeholder theory is widely accepted but elementary aspects remain indeterminate as the term ‘stakeholder’ is an essentially contested concept, being variously describable, internally complex and open in character. Such contestability is highly problematic for theory development and empirical testing. The extent of essential contestability, previously unknown, is demonstrated in this paper through a bounded systematic review of 593 different stakeholder theory definitions. As an essentially contested concept, the solution does not lie in a universal stakeholder definition, but (...)
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  2.  24
    Structural realism and theory classification.Federico Benitez - 2023 - Theoria 89 (5):734-747.
    Ontic structural realism constitutes a promising take on scientific realism, one that avoids the well‐known issues that realist stances have with underdetermination and theory change. In its most radical versions, ontic structural realism proposes a type of eliminativism about theoretical entities, ascribing ontological commitment only to the structures, and not to the objects appearing in our theories. More moderate versions of ontic structural realism have also been proposed, allowing for ‘thin’ objects in the ontology. This work connects these takes (...)
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  3.  23
    The Heuristic Power of Theory Classification, the Case of General Relativity.Diego Maltrana & Nicolás Sepúlveda-Quiroz - 2022 - Foundations of Physics 52 (4):1-24.
    In this article, we explore the heuristic power of the theoretical distinction between framework and interaction theories applied to the case of General Relativity. According to the distinction, theories and theoretical elements can be classified into two different groups, each with clear ontological, epistemic and functional content. Being so, to identify the group to which a theory belongs would suffice to know a priori its prospects and limitations in these areas without going into a detailed technical analysis. We make (...)
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  4.  5
    Neurath’s Theory of Theory Classification: History, Optics & Epistemology.Gábor Zemplén - 2019 - In Adam Tuboly & Jordi Cat (eds.), Neurath Reconsidered: New Sources and Perspectives. Cham: Springer Verlag. pp. 217-238.
    Otto Neurath’s early work on the classification of systems of hypotheses in optics provided some of the key insights of Neurath’s later philosophy of science. The chapter investigates how Neurath developed his theory of theory-classification in response to inconsistencies he stumbled upon while studying the historical theories. Neurath’s empiricism and thoroughgoing fallibilism informed his mapping of the group of theories, locating “elementary notions” of theories and taking into account the “blurred margins” of theories. To replace false (...)
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  5.  13
    Classification Theory: Proceedings of the U.S.-Israel Workshop on Model Theory in Mathematical Logic Held in Chicago, Dec. 15-19, 1985.J. T. Baldwin & U. Workshop on Model Theory in Mathematical Logic - 1987 - Springer.
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  6.  8
    Classification from antiquity to modern times: sources, methods, and theories from an interdisciplinary perspective.Tanja Pommerening & Walter Bisang (eds.) - 2017 - Boston: Walter de Gruyter.
    The volume presents phenomena of classification and categorisation in ancient and modern cultures and provides an overview of how cultural practices and cognitive systems interact when individuals or larger groups conceptually organize their world. Scientists of antiquity studies, anthropologists, linguists etc. will find methods to reconstruct early concepts of men and nature from a synchronic and diachronic comparative perspective.
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  7.  4
    Towards a general theory of classifications.Daniel Parrochia - 2013 - New York: Birkhäuser. Edited by Pierre Neuville.
    This book is an essay on the epistemology of classifications. Its main purpose is not to provide an exposition of an actual mathematical theory of classifications, that is, a general theory which would be available to any kind of them: hierarchical or non-hierarchical, ordinary or fuzzy, overlapping or non-overlapping, finite or infinite, and so on, establishing a basis for all possible divisions of the real world. For the moment, such a theory remains nothing but a dream. Instead, (...)
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  8.  99
    Classification and explanation in Aristotle's theory of definition.Greg Bayer - 1998 - Journal of the History of Philosophy 36 (4):487-505.
    In lieu of an abstract, here is a brief excerpt of the content:Classification and Explanation in Aristotle’s Theory of DefinitionGreg Bayer1. introductiona problem lies at the heart of Aristotle’s theory of definition. On the one hand, Aristotle says in Topics VI.4 that “the one who defines well must define by means of genus1 and differentia” (141b25–7); indeed his view of definition most often seems to be confined to its role of picking out the definiendum by indicating the (...)
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  9.  13
    The classification of countable models of set theory.John Clemens, Samuel Coskey & Samuel Dworetzky - 2020 - Mathematical Logic Quarterly 66 (2):182-189.
    We study the complexity of the classification problem for countable models of set theory (). We prove that the classification of arbitrary countable models of is Borel complete, meaning that it is as complex as it can conceivably be. We then give partial results concerning the classification of countable well‐founded models of.
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  10.  7
    Classification Accuracy of Mixed Format Tests: A Bi-Factor Item Response Theory Approach.Wei Wang, Fritz Drasgow & Liwen Liu - 2016 - Frontiers in Psychology 7.
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  11.  19
    Post-Darwinian fish classifications: theories and methodologies of Günther, Cope, and Gill.Aleta Quinn & James R. Jackson - 2023 - History and Philosophy of the Life Sciences 45 (1):1-37.
    We analyze the relationship between evolutionary theory and classification of higher taxa in the work of three ichthyologists: Albert C.L.G. Günther (1830–1914), Edward Drinker Cope (1840–1897), and Theodore Gill (1837–1914). The progress of ichthyology in the early years following the Origin has received little attention from historians, and offers an opportunity to further evaluate the extent to which evolutionary theorizing influenced published views on systematic methodology. These three ichthyologists held radically different theoretical views. The apparent commensurability of claims (...)
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  12.  24
    Classification theory for accessible categories.M. Lieberman & J. Rosický - 2016 - Journal of Symbolic Logic 81 (1):151-165.
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  13.  84
    How to Incorporate Non-Epistemic Values into a Theory of Classification.Thomas A. C. Reydon & Marc Ereshefsky - 2022 - European Journal for Philosophy of Science 12 (1):1-28.
    Non-epistemic values play important roles in classificatory practice, such that philosophical accounts of kinds and classification should be able to accommodate them. Available accounts fail to do so, however. Our aim is to fill this lacuna by showing how non-epistemic values feature in scientific classification, and how they can be incorporated into a philosophical theory of classification and kinds. To achieve this, we present a novel account of kinds and classification, discuss examples from biological (...) where non-epistemic values play decisive roles, and show how this account accommodates the role of non-epistemic values. (shrink)
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  14. A classification of Newcomb problems and decision theories.Kenny Easwaran - 2019 - Synthese 198 (Suppl 27):6415-6434.
    Newcomb-like problems are classified by the payoff table of their act-state pairs, and the causal structure that gives rise to the act-state correlation. Decision theories are classified by the one or more points of intervention whose causal role is taken to be relevant to rationality in various problems. Some decision theories suggest an inherent conflict between different notions of rationality that are all relevant. Some issues with causal modeling raise problems for decision theories in the contexts where Newcomb problems arise.
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  15.  24
    Classifications for inconsistent theories.John Grant - 1978 - Notre Dame Journal of Formal Logic 19 (3):435-444.
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  16. Verisimilitude, cross classification and prediction logic. Approaching the statistical truth by falsified qualitative theories.Roberto Festa - 2007 - Mind and Society 6 (1):91-114.
    In this paper it is argued that qualitative theories (Q-theories) can be used to describe the statistical structure of cross classified populations and that the notion of verisimilitude provides an appropriate tool for measuring the statistical adequacy of Q-theories. First of all, a short outline of the post-Popperian approaches to verisimilitude and of the related verisimilitudinarian non-falsificationist methodologies (VNF-methodologies) is given. Secondly, the notion of Q-theory is explicated, and the qualitative verisimilitude of Q-theories is defined. Afterwards, appropriate measures for (...)
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  17.  14
    Classification theory and 0#.Sy D. Friedman, Tapani Hyttinen & Mika Rautila - 2003 - Journal of Symbolic Logic 68 (2):580-588.
    We characterize the classifiability of a countable first-order theory T in terms of the solvability of the potential-isomorphism problem for models of T.
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  18.  19
    Classification theory through stationary logic.Fred Appenzeller - 2000 - Annals of Pure and Applied Logic 102 (1-2):27-68.
    We relate the classifiability of a complete finitary first-order theory in the sense of S. SHELAH to the determinacy of the class of -saturated models in the sense of stationary logic.
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  19.  15
    A classification of 2-chains having 1-shell boundaries in rosy theories.Byunghan Kim, Sunyoung Kim & Junguk Lee - 2015 - Journal of Symbolic Logic 80 (1):322-340.
  20.  10
    Theories and method for labeling cognitive workload: Classification and transfer learning.Ryan Mckendrick, Bradley Feest, Amanda Harwood, Jessica Crouch & Brian Falcone - 2018 - Frontiers in Human Neuroscience 12.
  21.  6
    Concept learning and heuristic classification in weak-theory domains.Bruce W. Porter, Ray Bareiss & Robert C. Holte - 1990 - Artificial Intelligence 45 (1-2):229-263.
  22.  14
    The Classification of Ethical Theories.Jay William Hudson - 1910 - International Journal of Ethics 20 (4):408-424.
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    Theories of Economic Development: History and Classification.Henry William Spiegel - 1955 - Journal of the History of Ideas 16 (1/4):518.
  24.  20
    Classification theory over a predicate. I.Anand Pillay & Saharon Shelah - 1985 - Notre Dame Journal of Formal Logic 26 (4):361-376.
  25.  23
    Classification theory for abelian groups with an endomorphism.Annalisa Marcja, Mike Prest & Carlo Toffalori - 1991 - Archive for Mathematical Logic 31 (2):95-104.
  26.  11
    Classification in French Social Theory.Derek Robbins - 2006 - Theory, Culture and Society 23 (2-3):42-44.
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  27.  66
    The classification of the Dharmakāya chapter of the Abhisamayāla kāra by Indian commentators: The threefold and the fourfold Buddhakāya theories.Hidenori S. Sakuma - 1994 - Journal of Indian Philosophy 22 (3):259-297.
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    A classification theory of defense.Mardi J. Horowitz, Henry C. Markman, Charles H. Stinson, Bram Fridhandler & Jess H. Ghannam - 1990 - In Jerome L. Singer (ed.), Repression and Dissociation: Implications for Personality Theory, Psychopathology and Health. University of Chicago Press.
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  29.  46
    The classification of ethical theories.Jay William Hudson - 1910 - International Journal of Ethics 20 (4):408-424.
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  30.  22
    Improving Human‐Machine Cooperative Classification Via Cognitive Theories of Similarity.Brett D. Roads & Michael C. Mozer - 2017 - Cognitive Science 41 (5):1394-1411.
    Acquiring perceptual expertise is slow and effortful. However, untrained novices can accurately make difficult classification decisions by reformulating the task as similarity judgment. Given a query image and a set of reference images, individuals are asked to select the best matching reference. When references are suitably chosen, the procedure yields an implicit classification of the query image. To optimize reference selection, we develop and evaluate a predictive model of similarity-based choice. The model builds on existing psychological literature and (...)
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  31.  28
    Advancing Emotion Theory with Multivariate Pattern Classification.Philip A. Kragel & Kevin S. LaBar - 2014 - Emotion Review 6 (2):160-174.
    Characterizing how activity in the central and autonomic nervous systems corresponds to distinct emotional states is one of the central goals of affective neuroscience. Despite the ease with which individuals label their own experiences, identifying specific autonomic and neural markers of emotions remains a challenge. Here we explore how multivariate pattern classification approaches offer an advantageous framework for identifying emotion-specific biomarkers and for testing predictions of theoretical models of emotion. Based on initial studies using multivariate pattern classification, we (...)
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  32. Theories of Consciousness: Carruthers' Classification.O. K. Sheeja - 2007 - In Manjulika Ghosh (ed.), Musings on philosophy: perennial and modern. New Delhi: Sundeep Prakashan. pp. 280.
  33.  23
    Theories and methods in ecological economics : a tentative classification.John O'Neill, J. C. Martinez-Alier & G. Munda - unknown
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  34.  31
    On a classification of theories without the independence property.Viktor Verbovskiy - 2013 - Mathematical Logic Quarterly 59 (1-2):119-124.
    A theory is stable up to Δ if any Δ-type over a model has a few extensions up to complete types. We prove that a theory has no the independence property iff it is stable up to some Δ, where each equation image has no the independence property.
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  35. Classification of Global Catastrophic Risks Connected with Artificial Intelligence.Alexey Turchin & David Denkenberger - 2020 - AI and Society 35 (1):147-163.
    A classification of the global catastrophic risks of AI is presented, along with a comprehensive list of previously identified risks. This classification allows the identification of several new risks. We show that at each level of AI’s intelligence power, separate types of possible catastrophes dominate. Our classification demonstrates that the field of AI risks is diverse, and includes many scenarios beyond the commonly discussed cases of a paperclip maximizer or robot-caused unemployment. Global catastrophic failure could happen at (...)
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  36.  6
    Theories and Methods for Labeling Cognitive Workload: Classification and Transfer Learning.Ryan McKendrick, Bradley Feest, Amanda Harwood & Brian Falcone - 2019 - Frontiers in Human Neuroscience 13.
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    Some reflections on evolutionary theories, with a classification of fitness.Klaus Henle - 1991 - Acta Biotheoretica 39 (2):91-106.
    Using a classical life history model (the Smith & Fretwell model of the evolution of offspring size), it is demonstrated that even in the presence of overwhelming empirical support, the testability of predictions derived from evolutionary models can give no guarantee that the underlying fitness concept is sound. Non-awareness of this problem may cause considerable justified but avoidable criticism. To help understanding the variable use of fitness in evolutionary models and recognizing potentially problematic areas which need careful consideration, a hierarchical (...)
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  38.  37
    An Emotion Theory Approach to Artificial Emotion Systems for Robots and Intelligent Systems: Survey and Classification.Arvin Agah & Sylvia Tidwell Scheuring - 2014 - Journal of Intelligent Systems 23 (3):325-343.
    To assist in the evaluation process when determining architectures for new robots and intelligent systems equipped with artificial emotions, it is beneficial to understand the systems that have been built previously. Other surveys have classified these systems on the basis of their technological features. In this survey paper, we present a classification system based on a model similar to that used in psychology and philosophy for theories of emotion. This makes possible a connection to thousands of years of discourse (...)
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  39.  66
    How Classification Works: Nelson Goodman Among the Social Sciences.Nelson Goodman, Mary Douglas & David L. Hull (eds.) - 1992 - Edinburgh: Edinburgh University Press.
    How Classification Works attempts to bridge the gap between philosophy and the social sciences using as a focus some of the work of Nelson Goodman. Throughout his long career Goodman has addressed the question: are some ways of conceptualizing more natural than others? This book looks at the rightness of categories, assessing Goodman's role in modern philosophy and explaining some of his ideas on the relation between aesthetics and cognitive theory. Two papers by Nelson Goodman are included in (...)
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  40. The information coding classification : A modern, theory-based fully-faceted, universal system of knowledge fields. [REVIEW]Ingetraut Dahlberg - 2008 - Axiomathes 18 (2):161-176.
    Introduction into the structure, contents and specifications of the Information Coding Classification, developed in the seventies and used in many ways by the author and a few others following its publication in 1982. Its theoretical basis is explained consisting in the Integrative Level Theory, following an evolutionary approach of ontical areas, and integrating also on each level the aspects contained in the sequence of the levels, the distinction between categories of form and categories of being, the application of (...)
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  41. Locke's theory of classification.Judith Crane - 2003 - British Journal for the History of Philosophy 11 (2):249 – 259.
    Locke is often cited as a precursor to contemporary natural kind realism. However, careful attention to Locke’s arguments show that he was unequivocally a conventionalist about natural kinds. To the extent that contemporary natural kind realists see themselves as following Locke, they misunderstand what he was trying to do. Locke argues that natural kinds require either dubious metaphysical commitments (e.g., to substantial forms or universals), or a question-begging version of essentialism. Contemporary natural kind realists face a similar dilemma, and should (...)
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  42. A response-time theory of separability and integrality in speeded classification.Fg Ashby & Wt Maddox - 1991 - Bulletin of the Psychonomic Society 29 (6):497-497.
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  43.  27
    Introduction: Peirce’s extended theory and classifications of signs.João Queiroz & Frederik Stjernfelt - 2019 - Semiotica 2019 (228):1-2.
    Journal Name: Semiotica Issue: Ahead of print.
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    Classification theory, Proceedings of the U.S.-Israel workshop on model theory in mathematical logic held in Chicago, Dec. 15–19, 1985, edited by Baldwin J. T., Lecture notes in mathematics, vol. 1292, Springer-Verlag, Berlin etc. 1987, vi + 500 pp. [REVIEW]John B. Goode - 1990 - Journal of Symbolic Logic 55 (2):878-881.
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    The classification of preordered spaces in terms of monotones: complexity and optimization.Sebastian Gottwald, Daniel A. Braun & Pedro Hack - 2022 - Theory and Decision 94 (4):693-720.
    The study of complexity and optimization in decision theory involves both partial and complete characterizations of preferences over decision spaces in terms of real-valued monotones. With this motivation, and following the recent introduction of new classes of monotones, like injective monotones or strict monotone multi-utilities, we present the classification of preordered spaces in terms of both the existence and cardinality of real-valued monotones and the cardinality of the quotient space. In particular, we take advantage of a characterization of (...)
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    Assessing Classification Reliability of Conditionals in Discourse.Alex Reuneker - 2023 - Argumentation 37 (3):397-418.
    Conditional constructions (if–then) enable us to express our thoughts about possible states of the world, and they form an important ingredient for our reasoning and argumentative capabilities. Different types and argumentative uses have been distinguished in the literature, but their applicability to actual language use is rarely evaluated. This paper focuses on the reliability of applying classifications of connections between antecedents and consequents of conditionals to discourse, and three issues are identified. First, different accounts produce incompatible results when applied to (...)
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  47. The classification of emotion and scientific realism.Peter Zachar - 2006 - Journal of Theoretical and Philosophical Psychology 26 (1-2):120-138.
    The scientific study of emotion has been characterized by classification schemes that propose to 'carve nature at the joints.' This article examines several of these classifications, drawn from both the categorical and dimensional perspectives. Each classification is given credit for what it contributes to our understanding, but the dream of a single, all purpose taxonomy of emotional phenomena is called into question. Such hopes are often associated with the carving at the joints metaphor, which is here argued to (...)
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  48.  89
    Classification from a computable viewpoint.Wesley Calvert & Julia F. Knight - 2006 - Bulletin of Symbolic Logic 12 (2):191-218.
    Classification is an important goal in many branches of mathematics. The idea is to describe the members of some class of mathematical objects, up to isomorphism or other important equivalence, in terms of relatively simple invariants. Where this is impossible, it is useful to have concrete results saying so. In model theory and descriptive set theory, there is a large body of work showing that certain classes of mathematical structures admit classification while others do not. In (...)
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  49. The Practical Kinds Model as a Pragmatist Theory of Classification.Peter Zachar - 2002 - Philosophy, Psychiatry, and Psychology 9 (3):219-227.
    In lieu of an abstract, here is a brief excerpt of the content:Philosophy, Psychiatry, & Psychology 9.3 (2002) 219-227 [Access article in PDF] The Practical Kinds Model as a Pragmatist Theory of Classification Peter Zachar Pragmatist theories of scientific classification are intended to be pluralistic models that recognize different ways of cutting up the world as valuable, but do not require us to adopt whatever-goes relativism or metaphysical antirealism. How ironic that my application of pragmatism to psychopathology (...)
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  50.  29
    Essentialism as a generative theory of classification.Bob Rehder - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal learning: psychology, philosophy, and computation. New York: Oxford University Press. pp. 190--207.
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