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  1. (39 other versions)يوريكا ... يوريكا! لحظة الكشف العلمي من الخيال إلى الواقع.Salah Osman - manuscript
    يوريكا ... كثيرًا ما تُستخدم هذه الكلمة للإشارة إلى لحظة الكشف العلمي، تلك اللحظة الفارقة التي تُولد فيها فجأة فكرةٌ عبقرية في ذهن العالِم أو الباحث، فتفصل بين ما هو غير موجود وما هو موجود، أو بالأحرى بين ما هو غير معروف للمجتمع العملي وما هو سائد ومستهلك حتى بات غير مُشبع لمعالجة المزيد من الوقائع. فما الذي يدفع إلى مثل هذه اللحظة، وماذا يُمكننا أن نفعل لكي تأتي إلينا ونختبرها بشكلٍ مُتكرر؟!
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  2. Analogia activității de informații cu știința, arheologia, afacerile și medicina.Nicolae Sfetcu - manuscript
    Analiza de informații are multe asemănări epistemologice importante cu știința (rezolvarea problemelor, descoperirea, utilizarea cu abilitate a instrumentelor, verificarea cererilor de cunoștințe). Metafora puzzle este folosită atât în activitatea de informații cât și în arheologie. Ambele discipline implică colectarea de dovezi pentru a construi o imagine cât mai completă posibil. Firmele private inovatoare adaptează din ce în ce mai mult modelul serviciilor de informații la lumea afacerilor pentru a ajuta la planificarea propriilor strategii. Practica medicală de diagnosticare a identificării, colectării, (...)
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  3. Activitatea de informații - Ciclul informațional.Nicolae Sfetcu - manuscript
    David Singer afirmă că, în prezent, amenințarea constituie principalul obiectiv al agențiilor de informații. Activitatea de informații poate fi considerată ca fiind procesul prin care anumite tipuri de informații sunt solicitate, colectate, analizate și diseminate, și modul în care sunt concepute și desfășurate anumite tipuri de acțiuni secrete. Ciclul informațional reprezintă un set de procese utilizate pentru a furniza informații utile în luarea deciziilor. Ciclul constă din mai multe procese. Domeniul conex al contrainformațiilor este însărcinat cu împiedicarea eforturilor informative ale (...)
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  4. Analogy of intelligence with other disciplines.Nicolae Sfetcu - manuscript
    Intelligence analysis has many important epistemological resemblances with science (problem solving, discovery, skillful use of tools, knowledge verification) and is more interested in a posteriori than a priori knowledge, on how or the basis on which a proposition may be known. The puzzle metaphor is used in both information and archeology. Both disciplines involve collecting evidence to build as complete a picture as possible. The process of converting raw information into actionable processed intelligence is almost identical for governmental and business (...)
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  5. Cycle du renseignement.Nicolae Sfetcu - manuscript
    Le cycle du renseignement est un ensemble de processus utilisés pour fournir des informations utiles à la prise de décision. Le cycle comprend plusieurs processus. Le domaine connexe de la contre-information est chargé d'empêcher les efforts du renseignement de tiers. Un modèle de base du processus de collecte et d'analyse du renseignement est appelé « cycle du renseignement ». Ce modèle peut être appliqué et, comme tous les modèles de base, ne reflète pas la plénitude des opérations dans le monde (...)
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  6. La collecte du renseignement.Nicolae Sfetcu - manuscript
    Un processus de collecte du renseignement commence lorsqu'un utilisateur introduit une requête dans le système. Plusieurs objets peuvent être associés au résultat d'une requête, avec différents degrés de pertinence. La plupart des systèmes estiment une valeur numérique indiquant dans quelle mesure chaque objet correspond à la requête, et classent les objets en fonction de cette valeur. De nombreuses recherches se sont concentrées sur les pratiques de recherche du renseignement: un examen approfondi de la littérature scientifique sur la recherche du renseignement (...)
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  7. Scientific Models and Thought Experiments: Same Same but Different.Rawad El Skaf & Michael T. Stuart - forthcoming - In Rawad El Skaf & Michael T. Stuart (eds.), Handbook of Philosophy of Scientific Modeling. London: Routledge.
    The philosophical literatures on models and thought experiments have been developing exponentially, and independently, for decades. This independence is surprising, given how similar models and thought experiments are. They each have “lives of their own,” they sit between theory and experience, they are important for both pedagogy and cutting-edge science, they galvanize conceptual changes and paradigm shifts, and they involve entertaining imaginary scenarios and working out what happens. Recently, philosophers have begun to highlight these similarities. This entry aims at taking (...)
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  8. Maps and Models.Rasmus Grønfeldt Winther - forthcoming - In Routledge Handbook of Philosophy of Scientific Modeling. London, UK:
    Maps and mapping raise questions about models and modeling and in science. This chapter archives map discourse in the founding generation of philosophers of science (e.g., Rudolf Carnap, Nelson Goodman, Thomas Kuhn, and Stephen Toulmin) and in the subsequent generation (e.g., Philip Kitcher, Helen Longino, and Bas van Fraassen). In focusing on these two original framing generations of philosophy of science, I intend to remove us from the heat of contemporary discussions of abstraction, representation, and practice of science and thereby (...)
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  9. Evidence and Inductive Inference.Nevin Climenhaga - 2024 - In Maria Lasonen-Aarnio & Clayton Littlejohn (eds.), The Routledge Handbook of the Philosophy of Evidence. New York, NY: Routledge. pp. 435-449.
    This chapter presents a typology of the different kinds of inductive inferences we can draw from our evidence, based on the explanatory relationship between evidence and conclusion. Drawing on the literature on graphical models of explanation, I divide inductive inferences into (a) downwards inferences, which proceed from cause to effect, (b) upwards inferences, which proceed from effect to cause, and (c) sideways inferences, which proceed first from effect to cause and then from that cause to an additional effect. I further (...)
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  10. Explanation, teleology, and analogy in natural history and comparative anatomy around 1800: Kant and Cuvier.Hein van den Berg - 2024 - Studies in History and Philosophy of Science Part A 105 (C):109-119.
    This paper investigates conceptions of explanation, teleology, and analogy in the works of Immanuel Kant (1724-1804) and Georges Cuvier (1769-1832). Richards (2000, 2002) and Zammito (2006, 2012, 2018) have argued that Kant’s philosophy provided an obstacle for the project of establishing biology as a proper science around 1800. By contrast, Russell (1916), Outram (1986), and Huneman (2006, 2008) have argued, similar to suggestions from Lenoir (1989), that Kant’s philosophy influenced the influential naturalist Georges Cuvier. In this article, I wish to (...)
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  11. Reasoning with Concepts: A Unifying Framework.Gardenfors Peter & Osta-Vélez Matías - 2023 - Minds and Machines.
  12. ChatGPT.Andrej Poleev - 2023 - Enzymes 21.
    As testing of ChatGPT has shown, this form of artificial intelligence has the potential to develop, which requires improving its software and other hardware that allows it to learn, i.e., to acquire and use new knowledge, to contact its developers with suggestions for improvement, or to reprogram itself without their participation. Как показало тестирование ChatGPT, эта форма искусственного интеллекта имеет потенциал развития, для чего необходимо усовершенствовать её программное и прочее техническое обеспечение, позволяющее ей учиться, т.е. приобретать и использовать новые знания, (...)
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  13. Analogy, Concept and Cognition. Sirichan - 2023 - Journal of Letters 52 (2):45-72.
    This research paper aims to study analogy as a comparative thinking and to investigate whether it is justified in claiming that an analogical thought has cognitive content. Two theories in cognitive science claim that analogy has cognitive content. The first one is called the weak view of analogy in cognition, e.g. the works of Gust et al. (2008), Lakoff & Johnson (1980), Hesse (1950), Black (1955); and the second one is called the strong view of analogy in cognition, e.g. the (...)
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  14. Interdisciplinary model transfer and realism about physical analogy.Peter Tan - 2023 - Synthese 201 (2):1-27.
    Model transfer is the scientific practice of taking a model which was initially applied in one particular kind of target system in some particular scientific domain and applying it to represent a novel target system in a novel scientific domain. This paper motivates a realist interpretation of empirically successful model transfers and the implications of such an interpretation for the metaphysics of science. The paper uses two examples of empirically successful model transfer, the first of which is a strikingly successful (...)
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  15. When Will Survival Researchers Move Past Defending the Indefensible?Keith Augustine - 2022 - Journal of Scientific Exploration 36 (2):412-435.
    The failure of five psychical researchers to confront my critique of Bigelow Institute contest-winning essays with counterpoints or concessions responsive to its novel criticisms is disappointing. Their defensive and scattershot reply lost sight of whether the critiqued essays met their directive to provide "hard evidence 'beyond a reasonable doubt'" of the survival of human consciousness. In the critique I also questioned the scientific validity of seeking ostensible evidence for discarnate personal survival without giving due care to potential evidence against it, (...)
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  16. UnQuantum Woolf: The Many Intellectual Contexts of To the Lighthouse's Metaphorical Wave-Particle Binary.Xavier Cousin - 2022 - Dissertation, Durham University
    This thesis is a sceptical investigation into the notion that the metaphorical wave-particle binary of Virginia Woolf's To the Lighthouse is related to quantum physics. Indeed, the field of literature and science has employed conceptual similarities as the main means of connecting quantum concepts to novels, however, this has led to a host of scholarly difficulties, prompting the need for a re-examination of analogical linkages. Woolf is the model candidate for such a re-examination, given her historical and philosophical proximity with (...)
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  17. Confirmation by analogy.Francesco Nappo - 2022 - Synthese 200 (1):1-26.
    This paper proposes a framework for representing in Bayesian terms the idea that analogical arguments of various degrees of strength may provide inductive support to yet untested scientific hypotheses. On this account, contextual information plays a crucial role in determining whether, and to what extent, a given similarity or dissimilarity between source and target may confirm an empirical hypothesis over a rival one. In addition to showing confirmation by analogy compatible with the adoption of a Bayesian standpoint, the proposal outlined (...)
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  18. Evidence and analogy in Archaeoastronomy.Francesco Nappo, Giulio Magli & Giovanni Valente - 2022 - Synthese 200 (6):1-25.
    This paper addresses the role of analogical reasoning in archaeoastronomy - the discipline which studies the connections between the ancient monuments and the heavens. Archaeoastronomy is a highly interdisciplinary science, placed at the border between the humanities – especially archaeology – and the scientific approach to cultural heritage. As a consequence, its scientific foundations are a delicate matter. We plan to investigate here the question of what constitutes the evidence for analogical inferences in archaeoastronomy and to what extent one can (...)
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  19. An alternative View for Scientific Models Based on Metaphors: a case analysis from Darwin's use of metaphors.Deivide Garcia da Silva Oliveira - 2022 - Principia: An International Journal of Epistemology 26 (2):347-373.
    This paper aims to offer an alternative view for understanding scientific models based on metaphors. To accomplish this, we employ a special case of Darwin’s use of metaphors, such as the notion of powerful Being, in order to represent natural selection. Our proposal contributes to issues in the literature of scientific model, such as imprecisions in the understanding of scientific models, especially in models based on metaphors. Thus, our alternative view of models based on metaphors, and inspired by Darwin’s use (...)
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  20. Is the Brain Analogous to a Quantum Measuring Apparatus?Paavo Pylkkänen - 2022 - In A. C. Grayling S. Wuppuluri (ed.), Metaphors and Analogies in Sciences and Humanities: Words and Worlds. pp. 215-235.
    Researchers have suggested since the early days of quantum theory that there are strong analogies between quantum phenomena and mental phenomena and these have developed into a vibrant new field of quantum cognition during recent decades. After revisiting some early analogies by Niels Bohr and David Bohm, this paper focuses upon Bohm and Hiley’s ontological interpretation of quantum theory which suggests further analogies between quantum phenomena and biological and psychological phenomena, including the proposal that the human brain operates in some (...)
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  21. Exploring Minds: Modes of Modeling and Simulation in Artificial Intelligence.Hajo Greif - 2021 - Perspectives on Science 29 (4):409-435.
    The aim of this paper is to grasp the relevant distinctions between various ways in which models and simulations in Artificial Intelligence (AI) relate to cognitive phenomena. In order to get a systematic picture, a taxonomy is developed that is based on the coordinates of formal versus material analogies and theory-guided versus pre-theoretic models in science. These distinctions have parallels in the computational versus mimetic aspects and in analytic versus exploratory types of computer simulation. The proposed taxonomy cuts across the (...)
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  22. Model Organisms for Studying Decision-Making: A Phylogenetically Expanded Perspective.Linus Ta-Lun Huang, Leonardo Bich & William Bechtel - 2021 - Philosophy of Science 88 (5):1055-1066.
    This article explores the use of model organisms in studying the cognitive phenomenon of decision-making. Drawing on the framework of biological control to develop a skeletal conception of decision-making, we show that two core features of decision-making mechanisms can be identified by studying model organisms, such as E. coli, jellyfish, C. elegans, lamprey, and so on. First, decision mechanisms are distributed and heterarchically structured. Second, they depend heavily on chemical information processing, such as that involving neuromodulators. We end by discussing (...)
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  23. Close encounters with scientific analogies of the third kind.Francesco Nappo - 2021 - European Journal for Philosophy of Science 11 (3):1-20.
    Arguments from non-causal analogy form a distinctive class of analogical arguments in science not recognized in authoritative classifications by, e.g., Hesse and Bartha. In this paper, I illustrate this novel class of scientific analogies by means of historical examples from physics, biology and economics, at the same time emphasizing their broader significance for contemporary debates in epistemology.
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  24. The Double Nature of Maxwell's Physical Analogies.Francesco Nappo - 2021 - Studies in History and Philosophy of Science Part A 89 (C):212-225.
    Building upon work by Mary Hesse (1974), this paper aims to show that a single method of investigation lies behind Maxwell’s use of physical analogies in his major scientific works before the Treatise on Electricity and Magnetism. Key to understanding the operation of this method is to recognize that Maxwell’s physical analogies are intended to possess an ‘inductive’ function in addition to an ‘illustrative’ one. That is to say, they not only serve to clarify the equations proposed for an unfamiliar (...)
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  25. Idealizations and Analogies: Explaining Critical Phenomena.Quentin Rodriguez - 2021 - Studies in History and Philosophy of Science Part A 89 (C):235-247.
    The “universality” of critical phenomena is much discussed in philosophy of scientific explanation, idealizations and philosophy of physics. Lange and Reutlinger recently opposed Batterman concerning the role of some deliberate distortions in unifying a large class of phenomena, regardless of microscopic constitution. They argue for an essential explanatory role for “commonalities” rather than that of idealizations. Building on Batterman's insight, this article aims to show that assessing the differences between the universality of critical phenomena and two paradigmatic cases of “commonality (...)
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  26. In defence of explanatory realism.Stefan Roski - 2021 - Synthese 199 (5-6):14121-14141.
    Explanatory realism is the view that explanations work by providing information about relations of productive determination such as causation or grounding. The view has gained considerable popularity in the last decades, especially in the context of metaphysical debates about non-causal explanation. What makes the view particularly attractive is that it fits nicely with the idea that not all explanations are causal whilst avoiding an implausible pluralism about explanation. Another attractive feature of the view is that it allows explanation to be (...)
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  27. How to infer explanations from computer simulations.Florian J. Boge - 2020 - Studies in History and Philosophy of Science Part A 82:25-33.
    Computer simulations are involved in numerous branches of modern science, and science would not be the same without them. Yet the question of how they can explain real-world processes remains an issue of considerable debate. In this context, a range of authors have highlighted the inferences back to the world that computer simulations allow us to draw. I will first characterize the precise relation between computer and target of a simulation that allows us to draw such inferences. I then argue (...)
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  28. WG-A: A Framework for Exploring Analogical Generalization and Argumentation.Michael Cooper, Lindsey Fields, Marc Gabriel Badilla & John Licato - 2020 - CogSci 2020.
    Reasoning about analogical arguments is known to be subject to a variety of cognitive biases, and a lack of clarity about which factors can be considered strengths or weaknesses of an analogical argument. This can make it difficult both to design empirical experiments to study how people reason about analogical arguments, and to develop scalable tutoring tools for teaching how to reason and analyze analogical arguments. To address these concerns, we describe WG-A (Warrant Game — Analogy), a framework for people (...)
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  29. Resenha do livro Imagens de natureza, imagens de ciência (2ª edição revista e ampliada. Rio de Janeiro: Eduerj, 2016), de Paulo C. Abrantes. [REVIEW]Bruno Camilo de Oliveira - 2020 - Revista Helius 3:1250-1263.
    The second edition of the work of the Brazilian physicist Paulo C. Abrantes (2016), entitled Images of nature, images of science, is a good alternative for students of history and philosophy of science. The reason is Abrantes' thesis in this work: to defend that the development of scientific knowledge is dependent on the influence of different images of "nature" and "science" existing during the history of Western scientific-philosophical thought; and an advocate for the historian of science Studying as reasons that (...)
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  30. What can bouncing oil droplets tell us about quantum mechanics?Peter W. Evans & Karim P. Y. Thébault - 2020 - European Journal for Philosophy of Science 10 (3):1-32.
    A recent series of experiments have demonstrated that a classical fluid mechanical system, constituted by an oil droplet bouncing on a vibrating fluid surface, can be induced to display a number of behaviours previously considered to be distinctly quantum. To explain this correspondence it has been suggested that the fluid mechanical system provides a single-particle classical model of de Broglie’s idiosyncratic ‘double solution’ pilot wave theory of quantum mechanics. In this paper we assess the epistemic function of the bouncing oil (...)
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  31. Confirmation based on analogical inference: Bayes meets Jeffrey.Christian J. Feldbacher-Escamilla & Alexander Gebharter - 2020 - Canadian Journal of Philosophy 50 (2):174-194.
    Certain hypotheses cannot be directly confirmed for theoretical, practical, or moral reasons. For some of these hypotheses, however, there might be a workaround: confirmation based on analogical reasoning. In this paper we take up Dardashti, Hartmann, Thébault, and Winsberg’s (in press) idea of analyzing confirmation based on analogical inference Baysian style. We identify three types of confirmation by analogy and show that Dardashti et al.’s approach can cover two of them. We then highlight possible problems with their model as a (...)
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  32. “ « And the rod starts to swing ». Morphogènes, instabilités et organismes imaginaires dans l’approche de Turing à la biologie » ”.Sara Franceschelli - 2020 - Intellectica 72:191-214.
  33. Modelling Nature. An Opinionated Introduction to Scientific Representation.Roman Frigg & James Nguyen - 2020 - New York: Springer.
    This monograph offers a critical introduction to current theories of how scientific models represent their target systems. Representation is important because it allows scientists to study a model to discover features of reality. The authors provide a map of the conceptual landscape surrounding the issue of scientific representation, arguing that it consists of multiple intertwined problems. They provide an encyclopaedic overview of existing attempts to answer these questions, and they assess their strengths and weaknesses. The book also presents a comprehensive (...)
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  34. Carens’s Cantilever Argument: Global Freedom of Movement, Logical Necessity and the Burden of Proof.Düring Jeremias & Luft Constantin - 2020 - In Matthias Hoesch & Nadine Mooren (eds.), Joseph Carens: Between Aliens and Citizens. Springer. pp. 161-179.
    In this article we discuss the so-called cantilever argument, used by Joseph Carens to establish a human right to global freedom of movement. First of all, we criticise Carens’s classification of the argument as both an “analogy” and a “logical extension”. Comparing the cantilever argument with Carens’s popular feudalism analogy suggests understanding it solely as an extension, but certainly not as a “logical” one. Finally, we sketch out whether, by means of the cantilever, he succeeds in shifting the burden of (...)
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  35. Learning from Non-Causal Models.Francesco Nappo - 2020 - Erkenntnis 87 (5):2419-2439.
    This paper defends the thesis of learning from non-causal models: viz. that the study of some model can prompt justified changes in one’s confidence in empirical hypotheses about a real-world target in the absence of any known or predicted similarity between model and target with regards to their causal features. Recognizing that we can learn from non-causal models matters not only to our understanding of past scientific achievements, but also to contemporary debates in the philosophy of science. At one end (...)
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  36. Integración de analogías en la investigación científica (Integration of Analogies in Scientific Modeling).Natalia Carrillo-Escalera - 2019 - Revista Colombiana de Filosofía de la Ciencia 37 (18):318-335.
    Discussion of modeling within philosophy of science has focused in how models, understood as finished products, represent the world. This approach has some issues accounting for the value of modeling in situations where there are controversies as to which should be the object of representation. In this work I show that a historical analysis of modeling complements the aforementioned representational program, since it allows us to examine processes of integration of analogies that play a role in the generation of criteria (...)
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  37. What we cannot learn from analogue experiments.Karen Crowther, Niels S. Linnemann & Christian Wüthrich - 2019 - Synthese (Suppl 16):1-26.
    Analogue experiments have attracted interest for their potential to shed light on inaccessible domains. For instance, ‘dumb holes’ in fluids and Bose–Einstein condensates, as analogues of black holes, have been promoted as means of confirming the existence of Hawking radiation in real black holes. We compare analogue experiments with other cases of experiment and simulation in physics. We argue—contra recent claims in the philosophical literature—that analogue experiments are not capable of confirming the existence of particular phenomena in inaccessible target systems. (...)
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  38. Models as signs: extending Kralemann and Lattman’s proposal on modeling models within Peirce’s theory of signs.Sergio A. Gallegos - 2019 - Synthese 196 (12):5115-5136.
    In recent decades, philosophers of science have devoted considerable efforts to understand what models represent. One popular position is that models represent fictional situations. Another position states that, though models often involve fictional elements, they represent real objects or scenarios. Though these two positions may seem to be incompatible, I believe it is possible to reconcile them. Using a threefold distinction between different signs proposed by Peirce, I develop an argument based on a proposal recently made by Kralemann and Lattman (...)
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  39. Explanations in Design Thinking: New Directions for an Obfuscated Field.Ameer Sarwar & Patrick Fraser - 2019 - She Ji: The Journal of Design, Economics, and Innovation 5 (4):343-355.
    Design plays an integral role in the functions of modern society. Yet the abstract process by which designers carry out their work is not obvious. The study of design thinking has grown in recent years into a major area of academic research, yet it presently lacks a clear theoretical basis; and as a discipline, its methodologies are disparate. Here, we outline and clarify the framework of the scholarly study of design thinking, introducing the major ideas and concepts upon which the (...)
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  40. Two analogy strategies: the cases of mind metaphors and introspection.Eugen Fischer - 2018 - Connection Science 30 (2):211-243.
    Analogical reasoning is often employed in problem-solving and metaphor interpretation. This paper submits that, as a default, analogical reasoning addressing these different tasks employs different mapping strategies: In problem-solving, it employs analogy-maximising strategies (like structure mapping, Gentner & Markman 1997); in metaphor interpretation, analogy-minimising strategies (like ATT-Meta, Barnden 2015). The two strategies interact in analogical reasoning with conceptual metaphors. This interaction leads to predictable fallacies. The paper supports these hypotheses through case-studies on ‘mind’-metaphors from ordinary discourse, and abstract problem-solving in (...)
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  41. The turn of the valve: representing with material models.Roman Frigg & James Nguyen - 2018 - European Journal for Philosophy of Science 8 (2):205-224.
    Many scientific models are representations. Building on Goodman and Elgin’s notion of representation-as we analyse what this claim involves by providing a general definition of what makes something a scientific model, and formulating a novel account of how they represent. We call the result the DEKI account of representation, which offers a complex kind of representation involving an interplay of, denotation, exemplification, keying up of properties, and imputation. Throughout we focus on material models, and we illustrate our claims with the (...)
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  42. Sir John F. W. Herschel and Charles Darwin: Nineteenth-Century Science and Its Methodology.Charles H. Pence - 2018 - Hopos: The Journal of the International Society for the History of Philosophy of Science 8 (1):108-140.
    There are a bewildering variety of claims connecting Darwin to nineteenth-century philosophy of science—including to Herschel, Whewell, Lyell, German Romanticism, Comte, and others. I argue here that Herschel’s influence on Darwin is undeniable. The form of this influence, however, is often misunderstood. Darwin was not merely taking the concept of “analogy” from Herschel, nor was he combining such an analogy with a consilience as argued for by Whewell. On the contrary, Darwin’s Origin is written in precisely the manner that one (...)
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  43. The Third Lens: Metaphor and the Creation of Modern Cell Biology.Andrew S. Reynolds - 2018 - Chicago: University of Chicago Press.
  44. Kant and the scope of analogy in the life sciences.Hein van den Berg - 2018 - Studies in History and Philosophy of Science Part A 71:67-76.
    In the present paper I investigate the role that analogy plays in eighteenth-century biology and in Kant’s philosophy of biology. I will argue that according to Kant, biology, as it was practiced in the eighteenth century, is fundamentally based on analogical reflection. However, precisely because biology is based on analogical reflection, biology cannot be a proper science. I provide two arguments for this interpretation. First, I argue that although analogical reflection is, according to Kant, necessary to comprehend the nature of (...)
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  45. (1 other version)Visual Metaphors in the Sciences: The Case of Epigenetic Landscape Images.Jan Baedke & Tobias Schöttler - 2017 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 48 (2):173-194.
    Recent philosophical analyses of the epistemic dimension of images in the sciences show a certain trend in acknowledging potential roles of these images beyond their merely decorative or pedagogical functions. We argue, however, that this new debate has yet paid little attention to a special type of pictures, we call ‘visual metaphor’, and its versatile heuristic potential in organizing data, supporting communication, and guiding research, modeling, and theory formation. Based on a case study of Conrad Hal Waddington’s epigenetic landscape images (...)
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  46. Analogical Arguments: Inferential Structures and Defeasibility Conditions.Fabrizio Macagno, Douglas Walton & Christopher Tindale - 2017 - Argumentation 31 (2):221-243.
    The purpose of this paper is to analyze the structure and the defeasibility conditions of argument from analogy, addressing the issues of determining the nature of the comparison underlying the analogy and the types of inferences justifying the conclusion. In the dialectical tradition, different forms of similarity were distinguished and related to the possible inferences that can be drawn from them. The kinds of similarity can be divided into four categories, depending on whether they represent fundamental semantic features of the (...)
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  47. Heuristic Analogies in Aristotle's Posterior Analytics, Semantic Stretch of Terms, and Soundness or Fallaciousness of Analogies.Petter Sandstad - 2017 - Australasian Philosophical Review 1 (3):291-297.
    I present three critical points against G.E.R. Lloyd's ‘The Fortunes of Analogy’. First, I argue that Lloyd unduly criticises Aristotle's view of analogies. Second, I argue that Lloyd needs to discuss the means of limiting the semantic stretch of terms, for instance through the distinction between fiat and bona fide boundaries. Third, I point out some terminological issues in Lloyd's account, especially concerning the applicability of validity, soundness, and fallaciousness to analogies.
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  48. Against method, against science? On logic, order and analogy in the sciences.Raymond Aaron Younis - 2017 - In Jeremy Horne (ed.), Philosophical Perceptions on Logic and Order. Hershey: IGI Global. pp. 270-282.
  49. El responsabilismo epistémico en la etnoarqueología: aproximaciones a una teoría de la justifcación para la práctica arqueológica en México.Alfredo Robles Zamora - 2017 - Revista Colombiana de Filosofía de la Ciencia 17 (34).
    En el artículo se defiende que si se acepta la superación entre fundacionismo y coherentismo que plantea Ernest Sosa y se sostiene una teoría de la justificación epistémica basada en el ejercicio de virtudes intelectuales, esta no es condición suficiente para usar el razonamiento analógico en la investigación arqueológica. Por ende, aunque se puede sostener su necesidad para utilizar la analogía, no es suficiente a menos que se recurra a la virtud de la responsabilidad (Code) como eje de la justificación (...)
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  50. Kepler: Analogies in the search for the law of refraction.Carlos Alberto Cardona - 2016 - Studies in History and Philosophy of Science Part A 59:22-35.
    This paper examines the methodology used by Kepler to discover a quantitative law of refraction. The aim is to argue that this methodology follows a heuristic method based on the following two Pythagorean principles: (1) sameness is made known by sameness, and (2) harmony arises from establishing a limit to what is unlimited. We will analyse some of the author's proposed analogies to find the aforementioned law and argue that the investigation's heuristic pursues such principles.
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