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  1. Robustness of the Dynamic Visual Movement Effect.William W. Agresti & Mark S. Mayzner - 1978 - Bulletin of the Psychonomic Society 12 (2):147-148.
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  2. Crustal Layering, Simplicity, and the Oil Industry: The Alteration of an Epistemic Paradigm by a Commercial Environment.Aitor Anduaga - 2010 - Studies in History and Philosophy of Science Part B 41 (4):322-345.
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  3. Robustness of Logical Depth.Luís Antunes, Andre Souto & Andreia Teixeira - 2012 - In S. Barry Cooper (ed.), How the World Computes. pp. 29--34.
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  4. Economical Unification as a Method of Philosophical Analysis.Styrman Avril - 2016 - Dissertation, University of Helsinki, Faculty of Arts
    This doctoral dissertation introduces economical unification as a method of analysis and shows how it is applied in dealing with some topics that are central in contemporary philosophy. The method resembles a production line that consists of three successive elements which are interconnected in two stages: -/- Economy > Ontology > Applications -/- In the first stage, an economically unified ontology is explicated by applying the principle of economy, which is an evaluation criterion of alternative ontologies. An economically unified ontology (...)
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  5. Non-Falsifiability: An Inductivist Perspective.D. J. Balestra - 1979 - International Logic Review 19:118.
  6. Pythagorean Heuristic in Physics.Sorin Bangu - 2006 - Perspectives on Science 14 (4):387-416.
    : Some of the great physicists' belief in the existence of a connection between the aesthetical features of a theory (such as beauty and simplicity) and its truth is still one of the most intriguing issues in the aesthetics of science. In this paper I explore the philosophical credibility of a version of this thesis, focusing on the connection between the mathematical beauty and simplicity of a theory and its truth. I discuss a heuristic interpretation of this thesis, attempting to (...)
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  7. The Role of Simplicity in Explanation.Stephen F. Barker - 1961 - In H. Feigl & G. Maxwell (eds.), Current Issues in the Philosophy of Science. New York. pp. 265--274.
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  8. Nonuniformly Hyperbolic Cocycles: Admissibility and Robustness.Luis Barreira & Claudia Valls - 2012 - Annali della Scuola Normale Superiore di Pisa 11 (3):545-564.
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  9. Simple is Not Easy.Edison Barrios - 2016 - Synthese 193 (7):2261-2305.
    I review and challenge the views on simplicity and its role in linguistics put forward by Ludlow. In particular, I criticize the claim that simplicity—in the sense pertinent to science—is nothing more than ease of use or “user-friendliness”, motivated by economy of labor. I argue that Ludlow’s discussion fails to do justice to the diversity of factors that are relevant to simplicity considerations. This, in turn, leads to the neglect of crucial cases in which the rationale for simplification is unmistakably (...)
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  10. On Verifiability, Simplicity, and Equivalence.C. W. Berenda - 1952 - Philosophy of Science 19 (1):70-76.
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  11. Morgan's Canon, Meet Hume's Dictum: Avoiding Anthropofabulation in Cross-Species Comparisons.Cameron Buckner - 2013 - Biology and Philosophy 28 (5):853-871.
    How should we determine the distribution of psychological traits—such as Theory of Mind, episodic memory, and metacognition—throughout the Animal kingdom? Researchers have long worried about the distorting effects of anthropomorphic bias on this comparative project. A purported corrective against this bias was offered as a cornerstone of comparative psychology by C. Lloyd Morgan in his famous “Canon”. Also dangerous, however, is a distinct bias that loads the deck against animal mentality: our tendency to tie the competence criteria for cognitive capacities (...)
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  12. The Myth of Simplicity: Problems of Scientific Philosophy.Mario Bunge - 1963 - Philosophical Review 74 (3):402-404.
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  13. The Weight of Simplicity in the Construction and Assaying of Scientific Theories.Mario Bunge - 1961 - Philosophy of Science 28 (2):120-149.
  14. Some Simple Problems with Simplicity.Laurie Calhoun - 1995 - Reason Papers 20:109-112.
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  15. Abduction, Competing Models and the Virtues of Hypotheses.H. G. Callaway - 2014 - In Lorenzo Magnani (ed.), (2014) Model-Based Reasoning in Science and Technology. Springer. pp. 263-280.
    This paper focuses on abduction as explicit or readily formulatable inference to possible explanatory hypotheses--as contrasted with inference to conceptual innovations or abductive logic as a cycle of hypotheses, deduction of consequences and inductive testing. Inference to an explanation is often a matter of projection or extrapolation of elements of accepted theory for the solution of outstanding problems in particular domains of inquiry. I say "projections or extrapolation" of accepted theory, but I mean to point to something broader and suggest (...)
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  16. Parsimony, In As FewWords As Possible.Toni Vogel Carey - 2010 - Philosophy Now 81:6-8.
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  17. The Simplicity of Scientific Theories Measured.John Henry Cassidy - 1975 - Dissertation, The University of Rochester
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  18. Anastasios Brenner, Raison Scientifique Et Valeurs Humaines.Teresa Castelão-Lawless - 2012 - Hopos: The Journal of the International Society for the History of Philosophy of Science 2:182-185.
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  19. The Robustness of Homogeneity of Variance Tests for Asymmetric Distributions: A Monte Carlo Study.James D. Church & Edward L. Wike - 1976 - Bulletin of the Psychonomic Society 7 (5):417-420.
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  20. The Ontological Commitments of Inconsistent Theories.Mark Colyvan - 2008 - Philosophical Studies 141 (1):115 - 123.
    In this paper I present an argument for belief in inconsistent objects. The argument relies on a particular, plausible version of scientific realism, and the fact that often our best scientific theories are inconsistent. It is not clear what to make of this argument. Is it a reductio of the version of scientific realism under consideration? If it is, what are the alternatives? Should we just accept the conclusion? I will argue (rather tentatively and suitably qualified) for a positive answer (...)
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  21. The Varieties of Parsimony in Psychology.Mike Dacey - 2016 - Mind and Language 31 (4):414-437.
    Philosophers and psychologists make many different, seemingly incompatible parsimony claims in support of competing models of cognition in nonhuman animals. This variety of parsimony claims is problematic. Firstly, it is difficult to justify each specific variety. This problem is especially salient for Morgan's Canon, perhaps the most important variety of parsimony claimed. Secondly, there is no systematic way of adjudicating between particular claims when they conflict. I argue for a view of parsimony in comparative psychology that solves these problems, based (...)
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  22. Simplicity.Brian Davies - 2010 - In Charles Taliaferro & Chad V. Meister (eds.), The Cambridge Companion to Christian Philosophical Theology. Cambridge University Press.
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  23. Unweaving the Rainbow: Science, Delusion, and the Appetite for Wonder.Richard Dawkins - 1998 - Houghton Mifflin.
    Did Newton "unweave the rainbow" by reducing it to its prismatic colors, as Keats contended? Did he, in other words, diminish beauty? Far from it, says Dawkins--Newton's unweaving is the key too much of modern astronomy and to the breathtaking poetry of modern cosmology. Mysteries don't lose their poetry because they are solved: the solution often is more beautiful than the puzzle, uncovering deeper mystery. (The Keats who spoke of "unweaving the rainbow" was a very young man, Dawkins reminds us.) (...)
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  24. Simplicity: A Meta-Metaphysics.Craig Dilworth - 2012 - Lexington Books.
    Simplicity provides a new logic with which to approach intellectual situations. Using the simplicity way of thinking as a tool helps clarify intellectual standpoints and conceptually problematic situations in philosophy, mathematics and physics.
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  25. Simplicity.Craig Dilworth - 2001 - Epistemologia 24 (2):173-202.
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  26. Simplicity in Scientific Theory: A Case History Approach.Arthur Anthony Dobos - 1972 - Dissertation, Saint Louis University
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  27. The Value of Cognitive Values.Heather Douglas - 2013 - Philosophy of Science 80 (5):796-806.
    Traditionally, cognitive values have been thought of as a collective pool of considerations in science that frequently trade against each other. I argue here that a finer-grained account of the value of cognitive values can help reduce such tensions. I separate the values into groups, minimal epistemic criteria, pragmatic considerations, and genuine epistemic assurance, based in part on the distinction between values that describe theories per se and values that describe theory-evidence relationships. This allows us to clarify why these values (...)
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  28. Simplicity is Not Truth-Indicative.Bruce Edmonds - unknown
    In this paper I will argue that, in general, where the evidence supports two theories equally, the simpler theory is not more likely to be true and is not likely to be nearer the truth. In other words simplicity does not tell us anything about model bias. Our preference for simpler theories (apart from their obvious pragmatic advantages) can be explained by the facts that humans are known to elaborate unsuccessful theories rather than attempt a thorough revision and that a (...)
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  29. The Power of Parsimony.Catherine Z. Elgin - 1997 - Philosophia Scientiae 2 (1):89-104.
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  30. The Principle of Parsimony and Some Applications in Pyschology.Robert Epstein - 1984 - Journal of Mind and Behavior 5 (2).
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  31. Rejoinder on the Principle of Simplicity.Lewis S. Feuer - 1959 - Philosophy of Science 26 (1):43-45.
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  32. The Principle of Simplicity.Lewis S. Feuer - 1957 - Philosophy of Science 24 (2):109-122.
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  33. What's to Be Said for Simplicity?Richard Foley - 1993 - Philosophical Issues 3:209-224.
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  34. Chapter 3: Simplicity and Unification in Model Selection.Malcolm Forster - manuscript
    This chapter examines four solutions to the problem of many models, and finds some fault or limitation with all of them except the last. The first is the naïve empiricist view that best model is the one that best fits the data. The second is based on Popper’s falsificationism. The third approach is to compare models on the basis of some kind of trade off between fit and simplicity. The fourth is the most powerful: Cross validation testing.
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  35. Discussion: Unification and Predictive Accuracy.Malcolm Forster - manuscript
    Wayne Myrvold (2003) has captured an important feature of unified theories, and he has done so in Bayesian terms. What is not clear is whether the virtue of such unification is most clearly understood in terms of Bayesian confirmation. I argue that the virtue of such unification is better understood in terms of other truth-related virtues such as predictive accuracy.
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  36. Empirical Simplicity as Testability.Kenneth S. Friedman - 1972 - British Journal for the Philosophy of Science 23 (1):25-33.
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  37. Logical Simplicity: A Challenge to Philosophy and to Social Inquiry.Horace S. Fries - 1950 - Philosophy of Science 17 (3):207-228.
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  38. The Myth of Simplicity: Problems of Scientific Philosophy. [REVIEW]L. C. G. - 1963 - Review of Metaphysics 17 (1):143-143.
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  39. The Intelligibility of God's Simplicity in Rational Theology.Yehuda Gellman - 1974 - Philosophia 4 (4):562-563.
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  40. Elegance in Science: The Beauty of Simplicity.Ian Glynn - 2010 - Oxford University Press.
    The meaning of elegance -- Celestial mechanics : the route to Newton -- Bringing the heavens down to earth -- So what is heat? -- Elegance and electricity -- Throwing light on light : with the story of Thomas Young -- How do nerves work? -- Information handling in the brain -- The genetic code -- Epilogue : a cautionary tale.
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  41. Robust Agriculture: Balancing Between Vulnerability and Stability.D. M. Goede, B. Gremmen & M. Blom - unknown
    The impression that agricultural systems are increasingly vulnerable to unwanted environmental fluctuations has created an urge for robustness in agriculture. However, the meaning of robustness and its relation to sustainable agriculture remain unclear. Considering two related concepts, i.e., vulnerability and stability, this article analyses different conceptualizations of robustness and their applications in agricultural production systems. It is argued that robustness should not be seen as a clear-cut system feature, and that it only exists in the absence of stability and by (...)
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  42. Robustness as an Image of Sustainability: Applied Conceptualisations and Their Contribution to Sustainable Development.D. M. Goede, B. Gremmen & M. Blom - unknown
    Sustainability is a catch-all term in need of more tangible, yet qualitatively measureable operationalisations. This paper discusses the relevance of robustness as an image of sustainability. We argue that robustness has conceptual advantages against sustainability because it is embedded in system thinking and gives direction to operationalisations of sustainable development more than sustainability ever can. We consider conceptualisations of robustness in three TransForum projects which were set up to develop the concept of robustness in agricultural innovation. In these projects, robustness (...)
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  43. 14. Simplicity.Daniel Goldstick - 2009 - In Reason, Truth and Reality. University of Toronto Press. pp. 138-150.
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  44. Corroboration, Explanation, Evolving Probability, Simplicity and a Sharpened Razor.I. J. Good - 1968 - British Journal for the Philosophy of Science 19 (2):123-143.
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  45. A Pragmatic Modification of Explicativity for the Acceptance of Hypotheses.I. J. Good & Alan F. McMichael - 1984 - Philosophy of Science 51 (1):120-127.
    The use of a concept called "explicativity", for (provisionally) accepting a theory or Hypothesis H, has previously been discussed. That previous discussion took into account the prior probability of H, and hence implicitly its theoretical simplicity. We here suggest that a modification of explicativity is required to allow for what may be called the pragmatic simplicity of H, that is, the simplicity of using H in applications as distinct from the simplicity of the description of H.
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  46. Is Simplicity Evidence of Truth?Adolf Grünbaum - 2007 - Royal Institute of Philosophy Supplement 61 (61):261-275.
    In a short 1997 book entitled Simplicity as Evidence of Truth, the Oxford philosopher Richard Swinburne has put forward the following thesis summarily: ‘… for theories rendering equally probable our observational data, fitting equally well with background knowledge, the simplest is most probably true’.
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  47. The Falsihability of the Lorentz-Fitzgerald Contraction Hypothesis: A Rejoinder to Professor Dingle.Adolf Grūnbaum - 1960 - British Journal for the Philosophy of Science 11 (42):143-145.
  48. Nature Science and “Three Changes”.Wang Guozheng - 2008 - Proceedings of the Xxii World Congress of Philosophy 43:265-272.
    Once Zheng Xuan, a man of Han dynasty, made notations of “Yiwei”, he said: “The word ‘change’ contains three meanings: the first is simplifying, the second is transformation, and the third is unchanging ”, thus called to “three changes”. The wording “three changes” is able to be the different explanations of “Zhouyi”, and also can be understand to three meanings of the word “change” in “Zhouyi”. Everywhere in the nature, and in nature science, there are incalculable examples about “three changes”. (...)
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  49. Derivational Robustness, Credible Substitute Systems and Mathematical Economic Models: The Case of Stability Analysis in Walrasian General Equilibrium Theory.D. Wade Hands - 2016 - European Journal for Philosophy of Science 6 (1):31-53.
    This paper supports the literature which argues that derivational robustness can have epistemic import in highly idealized economic models. The defense is based on a particular example from mathematical economic theory, the dynamic Walrasian general equilibrium model. It is argued that derivational robustness first increased and later decreased the credibility of the Walrasian model. The example demonstrates that derivational robustness correctly describes the practices of a particular group of influential economic theorists and provides support for the arguments of philosophers who (...)
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  50. Robustness.Lars Peter Hansen & Thomas J. Sargent - 2007 - Princeton University Press.
    Technical, rigorous, and self-contained, this book will be useful for macroeconomists who seek to improve the robustness of decision-making processes.
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