Results for 'Michael T. Bradley'

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  1.  48
    Manipulating the Alpha Level Cannot Cure Significance Testing.David Trafimow, Valentin Amrhein, Corson N. Areshenkoff, Carlos J. Barrera-Causil, Eric J. Beh, Yusuf K. Bilgiç, Roser Bono, Michael T. Bradley, William M. Briggs, Héctor A. Cepeda-Freyre, Sergio E. Chaigneau, Daniel R. Ciocca, Juan C. Correa, Denis Cousineau, Michiel R. de Boer, Subhra S. Dhar, Igor Dolgov, Juana Gómez-Benito, Marian Grendar, James W. Grice, Martin E. Guerrero-Gimenez, Andrés Gutiérrez, Tania B. Huedo-Medina, Klaus Jaffe, Armina Janyan, Ali Karimnezhad, Fränzi Korner-Nievergelt, Koji Kosugi, Martin Lachmair, Rubén D. Ledesma, Roberto Limongi, Marco T. Liuzza, Rosaria Lombardo, Michael J. Marks, Gunther Meinlschmidt, Ladislas Nalborczyk, Hung T. Nguyen, Raydonal Ospina, Jose D. Perezgonzalez, Roland Pfister, Juan J. Rahona, David A. Rodríguez-Medina, Xavier Romão, Susana Ruiz-Fernández, Isabel Suarez, Marion Tegethoff, Mauricio Tejo, Rens van de Schoot, Ivan I. Vankov, Santiago Velasco-Forero, Tonghui Wang, Yuki Yamada, Felipe C. M. Zoppino & Fernando Marmolejo-Ramos - 2018 - Frontiers in Psychology 9.
  2. Predicting information needs: Adaptive display in dynamic environments.Bradley C. Love, Matt Jones, Marc T. Tomlinson & Michael Howe - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society.
     
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  3.  86
    Book reviews. [REVIEW]Werner Menski, Carl Olson, William Cenkner, Anne E. Monius, Sarah Hodges, Jeffrey J. Kripal, Carol Salomon, Deepak Sarma, William Cenkner, John E. Cort, Peter A. Huff, Joseph A. Bracken, Larry D. Shinn, Jonathan S. Walters, Ellison Banks Findly, John Grimes, Loriliai Biernacki, David L. Gosling, Thomas Forsthoefel, Michael H. Fisher, Ian Barrow, Srimati Basu, Natalie Gummer, Pradip Bhattacharya, John Grimes, Heather T. Frazer, Elaine Craddock, Andrea Pinkney, Joseph Schaller, Michael W. Myers, Lise F. Vail, Wayne Howard, Bradley B. Burroughs, Shalva Weil, Joseph A. Bracken, Christopher W. Gowans, Dan Cozort, Katherine Janiec Jones, Carl Olson, M. D. McLean, A. Whitney Sanford, Sarah Lamb, Eliza F. Kent, Ashley Dawson, Amir Hussain, John Powers, Jennifer B. Saunders & Ramdas Lamb - 2005 - International Journal of Hindu Studies 9 (1-3):153-228.
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  4.  1
    European and American Philosophers.John Marenbon, Douglas Kellner, Richard D. Parry, Gregory Schufreider, Ralph McInerny, Andrea Nye, R. M. Dancy, Vernon J. Bourke, A. A. Long, James F. Harris, Thomas Oberdan, Paul S. MacDonald, Véronique M. Fóti, F. Rosen, James Dye, Pete A. Y. Gunter, Lisa J. Downing, W. J. Mander, Peter Simons, Maurice Friedman, Robert C. Solomon, Nigel Love, Mary Pickering, Andrew Reck, Simon J. Evnine, Iakovos Vasiliou, John C. Coker, Georges Dicker, James Gouinlock, Paul J. Welty, Gianluigi Oliveri, Jack Zupko, Tom Rockmore, Wayne M. Martin, Ladelle McWhorter, Hans-Johann Glock, Georgia Warnke, John Haldane, Joseph S. Ullian, Steven Rieber, David Ingram, Nick Fotion, George Rainbolt, Thomas Sheehan, Gerald J. Massey, Barbara D. Massey, David E. Cooper, David Gauthier, James M. Humber, J. N. Mohanty, Michael H. Dearmey, Oswald O. Schrag, Ralf Meerbote, George J. Stack, John P. Burgess, Paul Hoyningen-Huene, Nicholas Jolley, Adriaan T. Peperzak, E. J. Lowe, William D. Richardson, Stephen Mulhall & C. - 2017 - In Robert L. Arrington (ed.), A Companion to the Philosophers. Oxford, UK: Blackwell. pp. 109–557.
    Peter Abelard (1079–1142 ce) was the most wide‐ranging philosopher of the twelfth century. He quickly established himself as a leading teacher of logic in and near Paris shortly after 1100. After his affair with Heloise, and his subsequent castration, Abelard became a monk, but he returned to teaching in the Paris schools until 1140, when his work was condemned by a Church Council at Sens. His logical writings were based around discussion of the “Old Logic”: Porphyry's Isagoge, aristotle'S Categories and (...)
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  5.  13
    Colin Gunton and the Failure of Augustine: The Theology of Colin Gunton in the Light of Augustine. By Bradley G.Green. Pp. xiv, 226, Eugene, OR,Wipf & Stock,2011, £16.07, $26, €19.99.Trinity and Election in Contemporary Theology. By Michael T.Dempsey. Pp. x, 301, Grand Rapids, MI,Eerdmans,2011, £25.99, $30, €28.99. [REVIEW]Paul Brazier - 2016 - Heythrop Journal 57 (6):1048-1049.
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  6.  14
    The Triumph of the Darwinian Method.Michael T. Ghiselin - 1969 - University of California Press.
    A coherent treatment of the flow of ideas throughout Darwin's works, this volume presents a unified theoretical system that explains Darwin's investigations, evaluating the literature from a historical, scientific, and philosophical perspective.
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  7. Imagination: A Sine Qua Non of Science.Michael T. Stuart - 2017 - Croatian Journal of Philosophy (49):9-32.
    What role does the imagination play in scientific progress? After examining several studies in cognitive science, I argue that one thing the imagination does is help to increase scientific understanding, which is itself indispensable for scientific progress. Then, I sketch a transcendental justification of the role of imagination in this process.
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  8. The Routledge Companion to Thought Experiments.Michael T. Stuart, Yiftach Fehige & James Robert Brown (eds.) - 2018 - London: Routledge.
    Thought experiments are a means of imaginative reasoning that lie at the heart of philosophy, from the pre-Socratics to the modern era, and they also play central roles in a range of fields, from physics to politics. The Routledge Companion to Thought Experiments is an invaluable guide and reference source to this multifaceted subject. Comprising over 30 chapters by a team of international contributors, the Companion covers the following important areas: -/- · the history of thought experiments, from antiquity to (...)
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  9.  6
    Freud's Theory of Dreams: A Philosophico-Scientific Perspective.Michael T. Michael - 2015 - Rowman & Littlefield.
    Michael T. Michael evaluates Freud s theory of dreams in light of major criticisms and scientific research. Approaching the issue from the vantage of the history and philosophy of science, he argues that the theory is a live hypothesis fully deserving of continued scientific exploration.".
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  10. A Radical Solution to the Species Problem.Michael T. Ghiselin - 1974 - Systematic Zoology 23 (4):536–544.
    Traditionally, species have been treated as classes. In fact they may be considered individuals. The logical term “individual” has been confused with a biological synonym for “organism.” If species are individuals, then: 1) their names are proper, 2) there cannot be instances of them, 3) they do not have defining properties, 4) their constituent organisms are parts, not members. “ Species " may be defined as the most extensive units in the natural economy such that reproductive competition occurs among their (...)
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  11. The Economy of Nature and the Evolution of Sex.Michael T. Ghiselin - 1976 - Journal of the History of Biology 9 (2):324-324.
     
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  12. The Triumph of the Darwinian Method.Michael T. Ghiselin - 1973 - Philosophy of Science 40 (3):466-467.
  13.  44
    Metaphysics and the Origin of Species.Michael T. Ghiselin - 1997 - State University of New York Press.
    _This sweeping discussion of the philosophy of evolutionary biology is based on the revolutionary idea that species are not kinds of organisms but wholes composed of organisms._.
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  14. How Thought Experiments Increase Understanding.Michael T. Stuart - 2018 - In Michael T. Stuart, Yiftach Fehige & James Robert Brown (eds.), The Routledge Companion to Thought Experiments. London: Routledge. pp. 526-544.
    We might think that thought experiments are at their most powerful or most interesting when they produce new knowledge. This would be a mistake; thought experiments that seek understanding are just as powerful and interesting, and perhaps even more so. A growing number of epistemologists are emphasizing the importance of understanding for epistemology, arguing that it should supplant knowledge as the central notion. In this chapter, I bring the literature on understanding in epistemology to bear on explicating the different ways (...)
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  15. Ecological laws of perceiving and acting: In reply to Fodor and Pylyshyn.Michael T. Turvey, R. E. Shaw, Edward S. Reed & William M. Mace - 1981 - Cognition 9 (3):237-304.
  16. Towards a dual process epistemology of imagination.Michael T. Stuart - 2019 - Synthese (2):1-22.
    Sometimes we learn through the use of imagination. The epistemology of imagination asks how this is possible. One barrier to progress on this question has been a lack of agreement on how to characterize imagination; for example, is imagination a mental state, ability, character trait, or cognitive process? This paper argues that we should characterize imagination as a cognitive ability, exercises of which are cognitive processes. Following dual process theories of cognition developed in cognitive science, the set of imaginative processes (...)
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  17.  67
    Categories, life, and thinking.Michael T. Ghiselin - 1981 - Behavioral and Brain Sciences 4 (2):269-283.
  18. Living in the Dreamworld.T. Bradley Richards - 2012 - In Tracy Lyn Bealer, Rachel Luria & Wayne Yuen (eds.), Neil Gaiman and Philosophy: Gods Gone Wild! Open Court.
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  19. Jennifer Cole Wright, Michael T. Warren, and Nancy E. Snow, Understanding Virtue: Theory and Measurement[REVIEW]Michael T. Dale - 2023 - Journal of Moral Philosophy 20 (1-2):202-205.
    Over the last few decades, virtue has become increasingly important in philosophy, psychology, cognitive science, and education. However, as each of these disciplines approaches virtue from a decidedly different perspective, it has proven difficult to come up with an understanding of virtue that satisfies the standards of all four disciplines. In their book, Jennifer Wright, Michael Warren, and Nancy Snow attempt to put forward such an understanding.
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  20.  39
    Formal Causes: Definition, Explanation, and Primacy in Socratic and Aristotelian Thought.Michael T. Ferejohn - 2013 - Oxford, GB: Oxford University Press.
    Michael T. Ferejohn presents a new analysis of Aristotle's theory of explanation and scientific knowledge, in the context of its Socratic roots. Ferejohn shows how Aristotle resolves the tension between his commitment to the formal-case model of explanation and his recognition of the role of efficient causes in explaining natural phenomena.
  21.  40
    Inclusivity in the Education of Scientific Imagination.Michael T. Stuart & Hannah Sargeant - 2024 - In E. Hildt, K. Laas, C. Miller & E. Brey (eds.), Building Inclusive Ethical Cultures in STEM. London: Routledge. pp. 267-288.
    Scientists imagine constantly. They do this when generating research problems, designing experiments, interpreting data, troubleshooting, drafting papers and presentations, and giving feedback. But when and how do scientists learn how to use imagination? Across 6 years of ethnographic research, it has been found that advanced career scientists feel comfortable using and discussing imagination, while graduate and undergraduate students of science often do not. In addition, members of marginalized and vulnerable groups tend to express negative views about the strength of their (...)
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  22.  41
    The Productive Anarchy of Scientific Imagination.Michael T. Stuart - 2020 - Philosophy of Science 87 (5):968-978.
    Imagination is important for many things in science: solving problems, interpreting data, designing studies, etc. Philosophers of imagination typically account for the productive role played by imagination in science by focusing on how imagination is constrained, e.g., by using self-imposed rules to infer logically, or model events accurately. But the constraints offered by these philosophers either constrain too much, or not enough, and they can never account for uses of imagination that are needed to break today’s constraints in order to (...)
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  23. Brains, trains, and ethical claims: Reassessing the normative implications of moral dilemma research.Michael T. Dale & Bertram Gawronski - 2023 - Philosophical Psychology 36 (1):109-133.
    Joshua Greene has argued that the empirical findings of cognitive science have implications for ethics. In particular, he has argued (1) that people’s deontological judgments in response to trolley problems are strongly influenced by at least one morally irrelevant factor, personal force, and are therefore at least somewhat unreliable, and (2) that we ought to trust our consequentialist judgments more than our deontological judgments when making decisions about unfamiliar moral problems. While many cognitive scientists have rejected Greene’s dual-process theory of (...)
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  24. The future won’t be pretty: The nature and value of ugly, AI-designed experiments.Michael T. Stuart - 2023 - In Milena Ivanova & Alice Murphy (eds.), The Aesthetics of Scientific Experiments. London: Routledge.
    Can an ugly experiment be a good experiment? Philosophers have identified many beautiful experiments and explored ways in which their beauty might be connected to their epistemic value. In contrast, the present chapter seeks out (and celebrates) ugly experiments. Among the ugliest are those being designed by AI algorithms. Interestingly, in the contexts where such experiments tend to be deployed, low aesthetic value correlates with high epistemic value. In other words, ugly experiments can be good. Given this, we should conclude (...)
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  25. Thought Experiments: State of the Art.Michael T. Stuart, Yiftach Fehige & James Robert Brown - 2018 - In Michael T. Stuart, Yiftach Fehige & James Robert Brown (eds.), The Routledge Companion to Thought Experiments. London, UK: Routledge. pp. 1-28.
  26.  71
    P-curving x-phi: Does experimental philosophy have evidential value?Michael T. Stuart, David Colaço & Edouard Machery - 2019 - Analysis 79 (4):669-684.
    In this article, we analyse the evidential value of the corpus of experimental philosophy. While experimental philosophers claim that their studies provide insight into philosophical problems, some philosophers and psychologists have expressed concerns that the findings from these studies lack evidential value. Barriers to evidential value include selection bias and p-hacking. To find out whether the significant findings in x-phi papers result from selection bias or p-hacking, we applied a p-curve analysis to a corpus of 365 x-phi chapters and articles. (...)
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  27.  64
    Taming theory with thought experiments: Understanding and scientific progress.Michael T. Stuart - 2016 - Studies in History and Philosophy of Science Part A 58:24-33.
    I claim that one way thought experiments contribute to scientific progress is by increasing scientific understanding. Understanding does not have a currently accepted characterization in the philosophical literature, but I argue that we already have ways to test for it. For instance, current pedagogical practice often requires that students demonstrate being in either or both of the following two states: 1) Having grasped the meaning of some relevant theory, concept, law or model, 2) Being able to apply that theory, concept, (...)
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  28.  56
    On semantic pitfalls of biological adaptation.Michael T. Ghiselin - 1966 - Philosophy of Science 33 (1/2):147-.
    "Adaptation" has several meanings which have often been confused, including relations, processes, states, and intrinsic properties. It is used in comparative and historical contexts. "Adaptation" and "environment" may designate probabilistic concepts. Recognition of these points refutes arguments for the notions that: 1) all organisms are perfectly adapted; 2) organisms cannot be ill-adapted and survive or well-adapted and die; 3) adaptation is necessarily relative to the environment; 4) change in environment is necessary for evolution; 5) preadaptation implies teleology. Such notions are (...)
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  29. Scientists are Epistemic Consequentialists about Imagination.Michael T. Stuart - forthcoming - Philosophy of Science:1-22.
    Scientists imagine for epistemic reasons, and these imaginings can be better or worse. But what does it mean for an imagining to be epistemically better or worse? There are at least three metaepistemological frameworks that present different answers to this question: epistemological consequentialism, deontic epistemology, and virtue epistemology. This paper presents empirical evidence that scientists adopt each of these different epistemic frameworks with respect to imagination, but argues that the way they do this is best explained if scientists are fundamentally (...)
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  30.  23
    Lloyd Morgan's canon in evolutionary context.Michael T. Ghiselin - 1983 - Behavioral and Brain Sciences 6 (3):362.
  31.  37
    Contributions of memory circuits to language: the declarative/procedural model.Michael T. Ullman - 2004 - Cognition 92 (1-2):231-270.
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  32.  18
    On Psychologism in the Logic of Taxonomic Controversies.Michael T. Ghiselin - 1966 - Systematic Zoology 15 (3):207-215.
  33. Peeking Inside the Black Box: A New Kind of Scientific Visualization.Michael T. Stuart & Nancy J. Nersessian - 2018 - Minds and Machines 29 (1):87-107.
    Computational systems biologists create and manipulate computational models of biological systems, but they do not always have straightforward epistemic access to the content and behavioural profile of such models because of their length, coding idiosyncrasies, and formal complexity. This creates difficulties both for modellers in their research groups and for their bioscience collaborators who rely on these models. In this paper we introduce a new kind of visualization that was developed to address just this sort of epistemic opacity. The visualization (...)
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  34.  29
    On mechanisms of cultural evolution, and the evolution of language and the common law.Michael T. Ghiselin - 1982 - Behavioral and Brain Sciences 5 (1):11-11.
  35.  49
    Norton and the Logic of Thought Experiments.Michael T. Stuart - 2016 - Axiomathes 26 (4):451-466.
    John D. Norton defends an empiricist epistemology of thought experiments, the central thesis of which is that thought experiments are nothing more than arguments. Philosophers have attempted to provide counterexamples to this claim, but they haven’t convinced Norton. I will point out a more fundamental reason for reformulation that criticizes Norton’s claim that a thought experiment is a good one when its underlying logical form possesses certain desirable properties. I argue that by Norton’s empiricist standards, no thought experiment is ever (...)
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  36. The material theory of induction and the epistemology of thought experiments.Michael T. Stuart - 2020 - Studies in History and Philosophy of Science Part A 83 (C):17-27.
    John D. Norton is responsible for a number of influential views in contemporary philosophy of science. This paper will discuss two of them. The material theory of induction claims that inductive arguments are ultimately justified by their material features, not their formal features. Thus, while a deductive argument can be valid irrespective of the content of the propositions that make up the argument, an inductive argument about, say, apples, will be justified (or not) depending on facts about apples. The argument (...)
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  37.  88
    Guilty Artificial Minds: Folk Attributions of Mens Rea and Culpability to Artificially Intelligent Agents.Michael T. Stuart & Markus Https://Orcidorg Kneer - 2021 - Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2).
    While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...)
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  38.  19
    Darwinism versus neo-Darwinism in the study of human mate preferences.Michael T. Ghiselin - 1989 - Behavioral and Brain Sciences 12 (1):20-20.
  39.  37
    Explaining metamers: Right degrees of freedom, not subjectivism.Michael T. Turvey, Virgil Whitmyer & Kevin Shockley - 2001 - Consciousness and Cognition 10 (1):105-116.
  40.  40
    Telling Stories in Science: Feyerabend and Thought Experiments.Michael T. Stuart - 2021 - Hopos: The Journal of the International Society for the History of Philosophy of Science 11 (1):262-281.
    The history of the philosophy of thought experiments has touched on the work of Kuhn, Popper, Duhem, Mach, Lakatos, and other big names of the 20th century, but so far, almost nothing has been written about Paul Feyerabend. His most influential work was Against Method, 8 chapters of which concern a case study of Galileo with a specific focus on Galileo’s thought experiments. In addition, the later Feyerabend was very interested in what might be called the epistemology of drama, including (...)
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  41.  9
    Outsourcing Duty: The Moral Exploitation of the American Soldier.Michael Robillard & Bradley Strawser - 2022 - Oxford University Press.
    Are contemporary soldiers exploited by the state and society that they defend? More specifically, have America's professional service members disproportionately carried the moral weight of America's war-fighting decisions since the inception of an all-volunteer force? In this volume, Michael J. Robillard and Bradley J. Strawser, who have both served in the military, examine the question of whether and how American soldiers have been exploited in this way. Robillard and Strawser offer an original normative theory of 'moral exploitation'--the notion (...)
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  42. Neurons and normativity: A critique of Greene’s notion of unfamiliarity.Michael T. Dale - 2020 - Philosophical Psychology 33 (8):1072-1095.
    In his article “Beyond Point-and-Shoot Morality,” Joshua Greene argues that the empirical findings of cognitive neuroscience have implications for ethics. Specifically, he contends that we ought to trust our manual, conscious reasoning system more than our automatic, emotional system when confronting unfamiliar problems; and because cognitive neuroscience has shown that consequentialist judgments are generated by the manual system and deontological judgments are generated by the automatic system, we ought to trust the former more than the latter when facing unfamiliar moral (...)
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  43.  96
    Darwin's language may seem teleological, but his thinking is another matter.Michael T. Ghiselin - 1994 - Biology and Philosophy 9 (4):489-492.
    Darwin''s biology was teleological only if the term teleology is defined in a manner that fails to recognize his contribution to the metaphysics and epistemology of modern science. His use of teleological metaphors in a strictly teleonomic context is irrelevant to the meaning of his discourse. The myth of Darwin''s alleged teleology is partly due to misinterpretations of discussions about whether morphology should be a purely formal science. Merely rejecting such notions as special creation and vitalism does not prevent the (...)
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  44. The evolution of moral belief: support for the debunker’s causal premise.Michael T. Dale - 2022 - History and Philosophy of the Life Sciences 44 (2):1-18.
    The causal premise of the evolutionary debunking argument contends that human moral beliefs are explained by the process of natural selection. While it is universally acknowledged that such a premise is fundamental to the debunker’s case, the vast majority of philosophers focus instead on the epistemic premise that natural selection does not track moral truth and the resulting skeptical conclusion. Recently, however, some have begun to concentrate on the causal premise. So far, the upshot of this small but growing literature (...)
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  45.  15
    Evolutionary anatomy and language.Michael T. Ghiselin - 1980 - Behavioral and Brain Sciences 3 (1):20-20.
  46.  42
    Sharpening the tools of imagination.Michael T. Stuart - 2022 - Synthese 200 (6):1-22.
    Thought experiments, models, diagrams, computer simulations, and metaphors can all be understood as tools of the imagination. While these devices are usually treated separately in philosophy of science, this paper provides a unified account according to which tools of the imagination are epistemically good insofar as they improve scientific imaginings. Improving scientific imagining is characterized in terms of epistemological consequences: more improvement means better consequences. A distinction is then drawn between tools being good in retrospect, at the time, and in (...)
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  47. Philosophical Conceptual Analysis as an Experimental Method.Michael T. Stuart - 2015 - In Thomas Gamerschlag, Doris Gerland, Rainer Osswald & Wiebke Petersen (eds.), Meaning, Frames, and Conceptual Representation. Düsseldorf University Press. pp. 267-292.
    Philosophical conceptual analysis is an experimental method. Focusing on this helps to justify it from the skepticism of experimental philosophers who follow Weinberg, Nichols & Stich. To explore the experimental aspect of philosophical conceptual analysis, I consider a simpler instance of the same activity: everyday linguistic interpretation. I argue that this, too, is experimental in nature. And in both conceptual analysis and linguistic interpretation, the intuitions considered problematic by experimental philosophers are necessary but epistemically irrelevant. They are like variables introduced (...)
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  48.  57
    Ostensive definitions of the names of species and clades.Michael T. Ghiselin - 1995 - Biology and Philosophy 10 (2):219-22.
  49.  10
    Logics of Organization Theory: Audiences, Codes, and Ecologies.Michael T. Hannan, László Pólos & Glenn R. Carroll - 2007 - New York: Princeton University Press.
    It applies this framework and the new language of theory building to organizational ecology. "There is nothing like this book in the field today.
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  50.  65
    Cognitive Science and Thought Experiments: A Refutation of Paul Thagard's Skepticism.Michael T. Stuart - 2014 - Perspectives on Science 22 (2):264-287.
    Paul Thagard has recently argued that thought experiments are dangerous and misleading when we try to use them as evidence for claims. This paper refutes his skepticism. Building on Thagard’s own work in cognitive science, I suggest that Thagard has much that is positive to say about how thought experiments work. My last section presents some new directions for research on the intersection between thought experiments and cognitive science.
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