Results for 'models'

956 found
Order:
  1. Concepts of chaos-the analysis of self-similarity and the relevance of the ethical dimension-a comment on Baker, Gregory, L. a'dualistic model of ultimate reality and meaning-self-similarity in chaotic dynamics and and swedenborg'.Sm Modell - 1994 - Ultimate Reality and Meaning 17 (4):310-315.
    No categories
     
    Export citation  
     
    Bookmark  
  2. Reflections on DNA: The contribution of genetics to an energy-based model of ultimate reality and meaning.Stephen M. Modell - 2002 - Ultimate Reality and Meaning 25 (4):274-294.
    No categories
     
    Export citation  
     
    Bookmark  
  3.  58
    Imagination and the Meaningful Brain.Arnold H. Modell - 2003 - Bradford Book/MIT Press.
    " In Imagination and the Meaningful Brain, psychoanalyst Arnold Modell claims that subjective human experience must be included in any scientific...
    Direct download  
     
    Export citation  
     
    Bookmark   12 citations  
  4. A. lansner1.Neuron Model - 1986 - In G. Palm & A. Aertsen (eds.), Brain Theory. Springer. pp. 249.
    No categories
     
    Export citation  
     
    Bookmark  
  5. Using the human body as a paradigm for the structure of time: some reflections on time's Ultimate Reality and Meaning.S. M. Modell - 1994 - Ultimate Reality and Meaning 17 (3):197-221.
    No categories
     
    Export citation  
     
    Bookmark  
  6. Hubert L. Dreyfus and Stuart E. Dreyfus.Model Of Rationality - 1978 - In A. Hooker, J. J. Leach & E. F. McClennen (eds.), Foundations and Applications of Decision Theory: Vol.II: Epistemic and Social Applications. D. Reidel. pp. 115.
  7. Complexity of meaning, 3 Complexity of processing operations, 3 Conceptual classes, 103 Connectionism, 61, 80, 86, 87.Competition Model - 2005 - Behaviorism 34:83.
    No categories
     
    Export citation  
     
    Bookmark  
  8. Professor, Water Science and Civil Engineering University of California Davis, California.A. Mathematical Model - 1968 - In Peter Koestenbaum (ed.), Proceedings. [San Jose? Calif.,: [San Jose? Calif.. pp. 31.
    No categories
     
    Export citation  
     
    Bookmark  
  9. Katsuhiko Sekine.Problème de Cauchy Dans le Modèle & En Métrique de LeeIndéfinie - 1968 - In Jean-Louis Destouches & Evert Willem Beth (eds.), Logic and foundations of science. Dordrecht,: D. Reidel.
    No categories
     
    Export citation  
     
    Bookmark  
  10. Models, analogies, and theories.Peter Achinstein - 1964 - Philosophy of Science 31 (4):328-350.
    Recent accounts of scientific method suggest that a model, or analogy, for an axiomatized theory is another theory, or postulate set, with an identical calculus. The present paper examines five central theses underlying this position. In the light of examples from physical science it seems necessary to distinguish between models and analogies and to recognize the need for important revisions in the position under study, especially in claims involving an emphasis on logical structure and similarity in form between theory (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   28 citations  
  11. Simulation and Similarity: Using Models to Understand the World.Michael Weisberg - 2013 - New York, US: Oxford University Press.
    one takes to be the most salient, any pair could be judged more similar to each other than to the third. Goodman uses this second problem to showthat there can be no context-free similarity metric, either in the trivial case or in a scientifically ...
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   374 citations  
  12.  31
    Incompatible models in chemistry: the case of electronegativity.Hernán Lucas Accorinti - 2019 - Foundations of Chemistry 21 (1):71-81.
    During the second half of the nineteenth century, electronegativity has been one of the most relevant chemical concepts to explain the relationships between chemical substances and their possible reactions. Specifically, EN is a property of the substances that allows them to attract external electrons in bonding situations. The problem arises because EN cannot be measured directly. Indeed, the only way to measure it is through different properties that do can be directly measured, for instance enthalpy, ionization energies or electron affinities. (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  13. Wlodzmierz Rabinowicz and Sten Lindstrom.How to Model Relational Belief Revision - 1994 - In Dag Prawitz & Dag Westerståhl (eds.), Logic and Philosophy of Science in Uppsala: Papers From the 9th International Congress of Logic, Methodology and Philosophy of Science. Dordrecht, Netherland: Kluwer Academic Publishers. pp. 69.
    No categories
     
    Export citation  
     
    Bookmark  
  14. Energy, information, and emergence in the context of ultimate reality and meaning.Alexander A. Berezin, Stephen M. Modell, Louise Sundarajan & Siti Salamah Pope - 2002 - Ultimate Reality and Meaning 25 (4):256-273.
    No categories
     
    Export citation  
     
    Bookmark  
  15.  94
    Genetic and reproductive technologies in the light of religious dialogue.Stephen M. Modell - 2007 - Zygon 42 (1):163-182.
    Abstract.Since the gene splicing debates of the 1980s, the public has been exposed to an ongoing sequence of genetic and reproductive technologies. Many issue areas have outcomes that lose track of people's inner values or engender opposing religious viewpoints defying final resolution. This essay relocates the discussion of what is an acceptable application from the individual to the societal level, examining technologies that stand to address large numbers of people and thus call for policy resolution, rather than individual fiat, in (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  16.  7
    Philosophical-Scientific Musings on the Ultimate Nature of Synchronistic Events and Their Meaning.Stephen M. Modell - 2021 - Ultimate Reality and Meaning 38 (1-2):50-72.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  17.  88
    Aristotelian Influence in the Formation of Medical Theory.Stephen M. Modell - 2010 - The European Legacy 15 (4):409-424.
    Aristotle is oftentimes viewed through a strictly philosophical lens as heir to Plato and has having introduced logical rigor where an emphasis on the theory of Forms formerly prevailed. It must be appreciated that Aristotle was the son of a physician, and that his inculcation of the thought of other Greek philosophers addressing health and the natural elements led to an extremely broad set of biologically- and medically-related writings. As this article proposes, Aristotle deepened the fourfold theory of the elements (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  18.  56
    Approaching Religious Guidelines for Chimera Policymaking.Stephen M. Modell - 2007 - Zygon 42 (3):629-642.
  19.  21
    Frieden und Krieg. Zur Hegel-Auslegung Emmanuel Lévinas.Anselm Model - 2007 - Hegel-Jahrbuch 2007 (1).
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  20. The genetic recombination of science and religion.Stephen M. Modell - 2010 - Zygon 45 (2):462-468.
    The estrangement between genetic scientists and theologians originating in the 1960s is reflected in novel combinations of human thought (subject) and genes (investigational object), paralleling each other through the universal process known in chaos theory as self-similarity. The clash and recombination of genes and knowledge captures what Philip Hefner refers to as irony, one of four voices he suggests transmit the knowledge and arguments of the religion-and-science debate. When viewed along a tangent connecting irony to leadership, journal dissemination, and the (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  21.  20
    Zur Mehrdeutigkeit des Terminus,Metaphysik' bei Kant.Anselm Model - 2001 - In Volker Gerhardt, Rolf-Peter Horstmann & Ralph Schumacher (eds.), Kant Und Die Berliner Aufklärung: Akten des IX Internationalen Kant-Kongresses. New York: Walter de Gruyter. pp. 638-645.
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  22.  23
    Female sexuality, mockery, and a challenge to fate: A reinterpretation of South Nayar talikettukalyanam.Judith Modell - 1984 - Semiotica 50 (3-4).
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  23. In re Storar: Euthanasia for.A. Proposed Model - 1989 - In Anthony Serafini (ed.), Ethics and social concern. New York: Paragon House. pp. 69.
     
    Export citation  
     
    Bookmark  
  24. Naturalizing relational psychoanalytic theory.Arnold Modell - 2009 - In Roger Frie & Donna M. Orange (eds.), Beyond Postmodernism: New Dimensions in Theory and Practice. Routledge.
  25. Pierre mounoud.P. Rochat & A. Recursive Model - 1995 - In Philippe Rochat (ed.), The Self in Infancy: Theory and Research. Elsevier. pp. 112--141.
     
    Export citation  
     
    Bookmark  
  26. On this page.A. Structural Model Of Turnout & In Voting - 2011 - Emergence: Complexity and Organization 9 (4).
    No categories
     
    Export citation  
     
    Bookmark  
  27.  63
    Causal Models: How People Think About the World and its Alternatives.Steven Sloman - 2005 - Oxford, England: OUP.
    This book offers a discussion about how people think, talk, learn, and explain things in causal terms in terms of action and manipulation. Sloman also reviews the role of causality, causal models, and intervention in the basic human cognitive functions: decision making, reasoning, judgement, categorization, inductive inference, language, and learning.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   91 citations  
  28. How scientific models can explain.Alisa Bokulich - 2011 - Synthese 180 (1):33 - 45.
    Scientific models invariably involve some degree of idealization, abstraction, or nationalization of their target system. Nonetheless, I argue that there are circumstances under which such false models can offer genuine scientific explanations. After reviewing three different proposals in the literature for how models can explain, I shall introduce a more general account of what I call model explanations, which specify the conditions under which models can be counted as explanatory. I shall illustrate this new framework by (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   199 citations  
  29. Which Models of Scientific Explanation Are (In)Compatible with Inference to the Best Explanation?Yunus Prasetya - 2024 - British Journal for the Philosophy of Science 75 (1):209-232.
    In this article, I explore the compatibility of inference to the best explanation (IBE) with several influential models and accounts of scientific explanation. First, I explore the different conceptions of IBE and limit my discussion to two: the heuristic conception and the objective Bayesian conception. Next, I discuss five models of scientific explanation with regard to each model’s compatibility with IBE. I argue that Kitcher’s unificationist account supports IBE; Railton’s deductive–nomological–probabilistic model, Salmon’s statistical-relevance model, and van Fraassen’s erotetic (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  30.  13
    Quantum Models of Cognition and Decision.Jerome R. Busemeyer & Peter D. Bruza - 2012 - Cambridge University Press.
    Much of our understanding of human thinking is based on probabilistic models. This innovative book by Jerome R. Busemeyer and Peter D. Bruza argues that, actually, the underlying mathematical structures from quantum theory provide a much better account of human thinking than traditional models. They introduce the foundations for modelling probabilistic-dynamic systems using two aspects of quantum theory. The first, 'contextuality', is a way to understand interference effects found with inferences and decisions under conditions of uncertainty. The second, (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   64 citations  
  31. Jan Doroszewski.Semiotyczno-Systemowy Model Wiedzy Medycznej - 2001 - Studia Semiotyczne 24:175.
     
    Export citation  
     
    Bookmark  
  32.  80
    Models and mechanisms in network neuroscience.Carlos Zednik - 2018 - Philosophical Psychology 32 (1):23-51.
    This paper considers the way mathematical and computational models are used in network neuroscience to deliver mechanistic explanations. Two case studies are considered: Recent work on klinotaxis by Caenorhabditis elegans, and a longstanding research effort on the network basis of schizophrenia in humans. These case studies illustrate the various ways in which network, simulation and dynamical models contribute to the aim of representing and understanding network mechanisms in the brain, and thus, of delivering mechanistic explanations. After outlining this (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   6 citations  
  33. Models and Explanation.Alisa Bokulich - 2017 - In Magnani Lorenzo & Bertolotti Tommaso Wayne (eds.), Springer Handbook of Model-Based Science. Springer. pp. 103-118.
    Detailed examinations of scientific practice have revealed that the use of idealized models in the sciences is pervasive. These models play a central role in not only the investigation and prediction of phenomena, but in their received scientific explanations as well. This has led philosophers of science to begin revising the traditional philosophical accounts of scientific explanation in order to make sense of this practice. These new model-based accounts of scientific explanation, however, raise a number of key questions: (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   16 citations  
  34. Models and mechanisms in psychological explanation.Daniel A. Weiskopf - 2011 - Synthese 183 (3):313-338.
    Mechanistic explanation has an impressive track record of advancing our understanding of complex, hierarchically organized physical systems, particularly biological and neural systems. But not every complex system can be understood mechanistically. Psychological capacities are often understood by providing cognitive models of the systems that underlie them. I argue that these models, while superficially similar to mechanistic models, in fact have a substantially more complex relation to the real underlying system. They are typically constructed using a range of (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   75 citations  
  35.  10
    Cicero's Role Models: The Political Strategy of a Newcomer.Henriette van der Blom - 2010 - Oxford University Press.
    A study of the rhetorical and political strategy adopted by the Roman orator and statesman Cicero as a newcomer in Roman republican politics. Henriette van der Blom argues that Cicero advertised himself as a follower of chosen models of behaviour from the past - his role models - and in turn presented himself as a role model to others.
    Direct download  
     
    Export citation  
     
    Bookmark   4 citations  
  36. Models and fictions in science.Peter Godfrey-Smith - 2009 - Philosophical Studies 143 (1):101 - 116.
    Non-actual model systems discussed in scientific theories are compared to fictions in literature. This comparison may help with the understanding of similarity relations between models and real-world target systems. The ontological problems surrounding fictions in science may be particularly difficult, however. A comparison is also made to ontological problems that arise in the philosophy of mathematics.
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   150 citations  
  37. Understanding (With) Toy Models.Alexander Reutlinger, Dominik Hangleiter & Stephan Hartmann - 2016 - British Journal for the Philosophy of Science:axx005.
    Toy models are highly idealized and extremely simple models. Although they are omnipresent across scientific disciplines, toy models are a surprisingly under-appreciated subject in the philosophy of science. The main philosophical puzzle regarding toy models is that it is an unsettled question what the epistemic goal of toy modeling is. One promising proposal for answering this question is the claim that the epistemic goal of toy models is to provide individual scientists with understanding. The aim (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   48 citations  
  38.  35
    Boolean-Valued Models and Their Applications.Xinhe Wu - 2022 - Bulletin of Symbolic Logic 28 (4):533-533.
    Boolean-valued models generalize classical two-valued models by allowing arbitrary complete Boolean algebras as value ranges. The goal of my dissertation is to study Boolean-valued models and explore their philosophical and mathematical applications.In Chapter 1, I build a robust theory of first-order Boolean-valued models that parallels the existing theory of two-valued models. I develop essential model-theoretic notions like “Boolean-valuation,” “diagram,” and “elementary diagram,” and prove a series of theorems on Boolean-valued models, including the (strengthened) Soundness (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  39. (1 other version)Models and Analogies in Science.Mary Hesse - 1965 - British Journal for the Philosophy of Science 16 (62):161-163.
    Direct download  
     
    Export citation  
     
    Bookmark   283 citations  
  40. When are Purely Predictive Models Best?Robert Northcott - 2017 - Disputatio 9 (47):631-656.
    Can purely predictive models be useful in investigating causal systems? I argue ‘yes’. Moreover, in many cases not only are they useful, they are essential. The alternative is to stick to models or mechanisms drawn from well-understood theory. But a necessary condition for explanation is empirical success, and in many cases in social and field sciences such success can only be achieved by purely predictive models, not by ones drawn from theory. Alas, the attempt to use theory (...)
    Direct download (9 more)  
     
    Export citation  
     
    Bookmark   7 citations  
  41. Models and the locus of their truth.Uskali Mäki - 2011 - Synthese 180 (1):47 - 63.
    If models can be true, where is their truth located? Giere (Explaining science, University of Chicago Press, Chicago, 1998) has suggested an account of theoretical models on which models themselves are not truth-valued. The paper suggests modifying Giere’s account without going all the way to purely pragmatic conceptions of truth—while giving pragmatics a prominent role in modeling and truth-acquisition. The strategy of the paper is to ask: if I want to relocate truth inside models, how do (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   104 citations  
  42.  47
    Generative models as parsimonious descriptions of sensorimotor loops.Manuel Baltieri & Christopher L. Buckley - 2019 - Behavioral and Brain Sciences 42.
    The Bayesian brain hypothesis, predictive processing, and variational free energy minimisation are typically used to describe perceptual processes based on accurate generative models of the world. However, generative models need not be veridical representations of the environment. We suggest that they can be used to describe sensorimotor relationships relevant for behaviour rather than precise accounts of the world.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  43. Neurocognitive models of schizophrenia: a neurophenomenological critique.Shaun Gallagher - 2004 - Psychopathology 37 (1):8–19.
    In the past dozen years a number of theoretical models of schizophrenic symptoms have been proposed, often inspired by advances in the cognitive sciences, and especially cognitive neuroscience. Perhaps the most widely cited and influential of these is the neurocognitive model proposed by Christopher Frith (1992). Frith's influence reaches into psychiatry, neuroscience, and even philosophy. The philosopher John Campbell (1999a), for example, has called Frith's model the most parsimonious explanation of how self-ascriptions of thoughts are subject to errors of (...)
    Direct download  
     
    Export citation  
     
    Bookmark   81 citations  
  44. Models, Theories, and Structures: Thirty Years on.Steven French - 2000 - Philosophy of Science 67 (S1):S116 - S127.
    Thirty years after the conference that gave rise to The Structure of Scientific Theories, there is renewed interest in the nature of theories and models. However, certain crucial issues from thirty years ago are reprised in current discussions; specifically: whether the diversity of models in the science can be captured by some unitary account; and whether the temporal dimension of scientific practice can be represented by such an account. After reviewing recent developments we suggest that these issues can (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   68 citations  
  45. Ancestral Graph Markov Models.Thomas Richardson & Peter Spirtes - unknown
    This paper introduces a class of graphical independence models that is closed under marginalization and conditioning but that contains all DAG independence models. This class of graphs, called maximal ancestral graphs, has two attractive features: there is at most one edge between each pair of vertices; every missing edge corresponds to an independence relation. These features lead to a simple parameterization of the corresponding set of distributions in the Gaussian case.
    No categories
     
    Export citation  
     
    Bookmark   13 citations  
  46. Climate Models, Calibration, and Confirmation.Katie Steele & Charlotte Werndl - 2013 - British Journal for the Philosophy of Science 64 (3):609-635.
    We argue that concerns about double-counting—using the same evidence both to calibrate or tune climate models and also to confirm or verify that the models are adequate—deserve more careful scrutiny in climate modelling circles. It is widely held that double-counting is bad and that separate data must be used for calibration and confirmation. We show that this is far from obviously true, and that climate scientists may be confusing their targets. Our analysis turns on a Bayesian/relative-likelihood approach to (...)
    Direct download (13 more)  
     
    Export citation  
     
    Bookmark   33 citations  
  47.  87
    Representing with imaginary models: Formats matter.Marion Vorms - 2011 - Studies in History and Philosophy of Science Part A 42 (2):287-295.
    Models such as the simple pendulum, isolated populations, and perfectly rational agents, play a central role in theorising. It is now widely acknowledged that a study of scientific representation should focus on the role of such imaginary entities in scientists’ reasoning. However, the question is most of the time cast as follows: How can fictional or abstract entities represent the phenomena? In this paper, I show that this question is not well posed. First, I clarify the notion of representation, (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   23 citations  
  48.  32
    Information Models in Physics.G. B. Zhdanov - 1964 - Russian Studies in Philosophy 3 (3):54-57.
    In the article "The Epistemological Nature of Information Modeling" [Gnoseologicheskaia priroda informatsionnogo modelirovaniia], Voprosy filosofii, 1963, No. 10, Academician V. M. Glushkov examines two important methodological aspects of the modeling of natural objects and phenomena in the contemporary natural sciences. The first consists of the informational nature of the models created, and the second of their dynamism. The dynamic nature of today's models in the natural sciences means that it is not so much the material structure of the (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  49. Minimal models and canonical neural computations: the distinctness of computational explanation in neuroscience.M. Chirimuuta - 2014 - Synthese 191 (2):127-153.
    In a recent paper, Kaplan (Synthese 183:339–373, 2011) takes up the task of extending Craver’s (Explaining the brain, 2007) mechanistic account of explanation in neuroscience to the new territory of computational neuroscience. He presents the model to mechanism mapping (3M) criterion as a condition for a model’s explanatory adequacy. This mechanistic approach is intended to replace earlier accounts which posited a level of computational analysis conceived as distinct and autonomous from underlying mechanistic details. In this paper I discuss work in (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   71 citations  
  50. (1 other version)Simulations, models, and theories: Complex physical systems and their representations.Eric Winsberg - 2001 - Proceedings of the Philosophy of Science Association 2001 (3):S442-.
    Using an example of a computer simulation of the convective structure of a red giant star, this paper argues that simulation is a rich inferential process, and not simply a "number crunching" technique. The scientific practice of simulation, moreover, poses some interesting and challenging epistemological and methodological issues for the philosophy of science. I will also argue that these challenges would be best addressed by a philosophy of science that places less emphasis on the representational capacity of theories (and ascribes (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   51 citations  
1 — 50 / 956