Results for 'network epistemology'

956 found
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  1. Hierarchies, Networks, and Causality: The Applied Evolutionary Epistemological Approach.Nathalie Gontier - 2021 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 52 (2):313-334.
    Applied Evolutionary Epistemology is a scientific-philosophical theory that defines evolution as the set of phenomena whereby units evolve at levels of ontological hierarchies by mechanisms and processes. This theory also provides a methodology to study evolution, namely, studying evolution involves identifying the units that evolve, the levels at which they evolve, and the mechanisms and processes whereby they evolve. Identifying units and levels of evolution in turn requires the development of ontological hierarchy theories, and examining mechanisms and processes necessitates (...)
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  2. Epistemic Advantage on the Margin: A Network Standpoint Epistemology.Jingyi Wu - 2022 - Philosophy and Phenomenological Research (3):1-23.
    ​I use network models to simulate social learning situations in which the dominant group ignores or devalues testimony from the marginalized group. I find that the marginalized group ends up with several epistemic advantages due to testimonial ignoration and devaluation. The results provide one possible explanation for a key claim of standpoint epistemology, the inversion thesis, by casting it as a consequence of another key claim of the theory, the unidirectional failure of testimonial reciprocity. Moreover, the results complicate (...)
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  3. Academics’ Epistemological Attitudes towards Academic Social Networks and Social Media.Jevgenija Sivoronova, Aleksejs Vorobjovs & Vitālijs Raščevskis - 2024 - Philosophies 9 (1):1-28.
    Academic social networks and social media have revolutionised the way individuals gather information and express themselves, particularly in academia, science, and research. Through the lens of academics, this study aims to investigate the epistemological and psychosocial aspects of these knowledge sources. The epistemological attitude model presented a framework to delve into and reflect upon the existence of knowledge sources, comprising subjective, interactional, and knowledge dimensions. One hundred and twenty-six university academics participated in this study, including lecturers and researchers from different (...)
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  4. Self-Assembling Networks.Jeffrey A. Barrett, Brian Skyrms & Aydin Mohseni - 2019 - British Journal for the Philosophy of Science 70 (1):1-25.
    We consider how an epistemic network might self-assemble from the ritualization of the individual decisions of simple heterogeneous agents. In such evolved social networks, inquirers may be significantly more successful than they could be investigating nature on their own. The evolved network may also dramatically lower the epistemic risk faced by even the most talented inquirers. We consider networks that self-assemble in the context of both perfect and imperfect communication and compare the behaviour of inquirers in each. This (...)
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  5. The wisdom-of-crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit.Colin Klein, Marc Cheong, Marinus Ferreira, Emily Sullivan & Mark Alfano - 2023 - In Hocine Cherifi, Rosario Nunzio Mantegna, Luis M. Rocha, Chantal Cherifi & Salvatore Miccichè (eds.), Complex Networks and Their Applications XI: Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022 — Volume 1. Springer.
    The epistemic position of an agent often depends on their position in a larger network of other agents who provide them with information. In general, agents are better off if they have diverse and independent sources. Sullivan et al. [19] developed a method for quantitatively characterizing the epistemic position of individuals in a network that takes into account both diversity and independence; and presented a proof-of-concept, closed-source implementation on a small graph derived from Twitter data [19]. This paper (...)
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  6. Vulnerability in Social Epistemic Networks.Emily Sullivan, Max Sondag, Ignaz Rutter, Wouter Meulemans, Scott Cunningham, Bettina Speckmann & Mark Alfano - 2020 - International Journal of Philosophical Studies 28 (5):1-23.
    Social epistemologists should be well-equipped to explain and evaluate the growing vulnerabilities associated with filter bubbles, echo chambers, and group polarization in social media. However, almost all social epistemology has been built for social contexts that involve merely a speaker-hearer dyad. Filter bubbles, echo chambers, and group polarization all presuppose much larger and more complex network structures. In this paper, we lay the groundwork for a properly social epistemology that gives the role and structure of networks their (...)
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  7. Can Real Social Epistemic Networks Deliver the Wisdom of Crowds?Emily Sullivan, Max Sondag, Ignaz Rutter, Wouter Meulemans, Scott Cunningham, Bettina Speckmann & Mark Alfano - 2014 - In Tania Lombrozo, Joshua Knobe & Shaun Nichols (eds.), Oxford Studies in Experimental Philosophy, Volume 1. Oxford, GB: Oxford University Press UK.
    In this paper, we explain and showcase the promising methodology of testimonial network analysis and visualization for experimental epistemology, arguing that it can be used to gain insights and answer philosophical questions in social epistemology. Our use case is the epistemic community that discusses vaccine safety primarily in English on Twitter. In two studies, we show, using both statistical analysis and exploratory data visualization, that there is almost no neutral or ambivalent discussion of vaccine safety on Twitter. (...)
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  8. Supervision, Mentorship and Peer Networks: How Estonian Early Career Researchers Get (or Fail to Get) Support.Jaana Eigi, Katrin Velbaum, Endla Lõhkivi, Kadri Simm & Kristin Kokkov - 2018 - RT. A Journal on Research Policy and Evaluation 6 (1):01-16.
    The paper analyses issues related to supervision and support of early career researchers in Estonian academia. We use nine focus groups interviews conducted in 2015 with representatives of social sciences in order to identify early career researchers’ needs with respect to support, frustrations they may experience, and resources they may have for addressing them. Our crucial contribution is the identification of wider support networks of peers and colleagues that may compensate, partially or even fully, for failures of official supervision. On (...)
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  9. Threshold Phenomena in Epistemic Networks.Patrick Grim - 2006 - In Proceedings, AAAI Fall Symposium on Complex Adaptive Systems and the Threshold Effect. AAAI Press.
    A small consortium of philosophers has begun work on the implications of epistemic networks (Zollman 2008 and forthcoming; Grim 2006, 2007; Weisberg and Muldoon forthcoming), building on theoretical work in economics, computer science, and engineering (Bala and Goyal 1998, Kleinberg 2001; Amaral et. al., 2004) and on some experimental work in social psychology (Mason, Jones, and Goldstone, 2008). This paper outlines core philosophical results and extends those results to the specific question of thresholds. Epistemic maximization of certain types does show (...)
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  10. Humility in networks.Mark Alfano & Emily Sullivan - 2020 - In Mark Alfano, Michael Patrick Lynch & Alessandra Tanesini (eds.), The Routledge Handbook of the Philosophy of Humility. New York, NY: Routledge.
    What do humility, intellectual humility, and open-mindedness mean in the context of inter-group conflict? We spend most of our time with ingroup members, such as family, friends, and colleagues. Yet our biggest disagreements —— about practical, moral, and epistemic matters —— are likely to be with those who do not belong to our ingroup. An attitude of humility towards the former might be difficult to integrate with a corresponding attitude of humility towards the latter, leading to smug tribalism that masquerades (...)
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  11. Optimization Models for Reaction Networks: Information Divergence, Quadratic Programming and Kirchhoff’s Laws.Julio Michael Stern - 2014 - Axioms 109:109-118.
    This article presents a simple derivation of optimization models for reaction networks leading to a generalized form of the mass-action law, and compares the formal structure of Minimum Information Divergence, Quadratic Programming and Kirchhoff type network models. These optimization models are used in related articles to develop and illustrate the operation of ontology alignment algorithms and to discuss closely connected issues concerning the epistemological and statistical significance of sharp or precise hypotheses in empirical science.
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  12. An Epistemological Analysis of the Use of Reputation as Evidence.Andrés Páez - 2021 - International Journal of Evidence and Proof 25 (3):200-216.
    Rules 405(a) and 608(a) of the Federal Rules of Evidence allow the use of testimony about a witness’s reputation to support or undermine his or her credibility in trial. This paper analyzes the evidential weight of such testimony from the point of view of social epistemology and the theory of social networks. Together they provide the necessary elements to analyze how reputation is understood in this case, and to assess the epistemic foundation of a reputational attribution. The result of (...)
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  13. Modeling Epistemology: Examples and Analysis in Computational Philosophy of Science.Patrick Grim - 2019 - In A. Del Barrio, C. J. Lynch, F. J. Barros & X. Hu (eds.), IEEE SpringSim Proceedings 2019. IEEE. pp. 1-12.
    What structure of scientific communication and cooperation, between what kinds of investigators, is best positioned to lead us to the truth? Against an outline of standard philosophical characteristics and a recent turn to social epistemology, this paper surveys highlights within two strands of computational philosophy of science that attempt to work toward an answer to this question. Both strands emerge from abstract rational choice theory and the analytic tradition in philosophy of science rather than postmodern sociology of science. The (...)
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  14. Granger and science as network of models.Sergio Volodia Marcello Cremaschi - 1987 - Manuscrito 10 (2):111-136.
    The discovery of the role of models in science by Granger parallels the analogous discovery made by Mary Hesse and Marx Wartofsky. The role models are granted highlights the linguistic dimension of science, resulting in a 'softening' of Bachelard's rationalistic epistemology without lapsing into relativism. A 'linguistic' theory of metaphor, as contrasted with Bachelard's 'psychological' theory, is basic to Granger's account of models. A final paragraph discusses to what extent Granger's 'mature' theory of models would imply a revision of (...)
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  15. Philosophy of Science, Network Theory, and Conceptual Change: Paradigm Shifts as Information Cascades.Patrick Grim, Joshua Kavner, Lloyd Shatkin & Manjari Trivedi - forthcoming - In Euel Elliot & L. Douglas Kiel (eds.), Complex Systems in the Social and Behavioral Sciences: Theory, Method, and Application. University of Michigan Press.
    Philosophers have long tried to understand scientific change in terms of a dynamics of revision within ‘theoretical frameworks,’ ‘disciplinary matrices,’ ‘scientific paradigms’ or ‘conceptual schemes.’ No-one, however, has made clear precisely how one might model such a conceptual scheme, nor what form change dynamics within such a structure could be expected to take. In this paper we take some first steps in applying network theory to the issue, modeling conceptual schemes as simple networks and the dynamics of change as (...)
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  16. The Epistemology of Causal Selection: Insights from Systems Biology.Beckett Sterner - forthcoming - In C. Kenneth Waters & James Woodward (eds.), Philosophical Perspectives on Causal Reasoning in Biology. University of Minnesota Press.
    Among the many causes of an event, how do we distinguish the important ones? Are there ways to distinguish among causes on principled grounds that integrate both practical aims and objective knowledge? Psychologist Tania Lombrozo has suggested that causal explanations “identify factors that are ‘exportable’ in the sense that they are likely to subserve future prediction and intervention” (Lombrozo 2010, 327). Hence portable causes are more important precisely because they provide objective information to prediction and intervention as practical aims. However, (...)
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  17. Objectivity and the double standard for feminist epistemologies.Elisabeth A. Lloyd - 1995 - Synthese 104 (3):351 - 381.
    The emphasis on the limitations of objectivity, in specific guises and networks, has been a continuing theme of contemporary analytic philosophy for the past few decades. The popular sport of baiting feminist philosophers — into pointing to what's left out of objective knowledge, or into describing what methods, exactly, they would offer to replace the powerful objective methods grounding scientific knowledge — embodies a blatant double standard which has the effect of constantly putting feminist epistemologists on the defensive, on the (...)
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  18. The Independence Thesis: When Individual and Social Epistemology Diverge.Conor Mayo-Wilson, Kevin J. S. Zollman & David Danks - 2011 - Philosophy of Science 78 (4):653-677.
    In the latter half of the twentieth century, philosophers of science have argued (implicitly and explicitly) that epistemically rational individuals might compose epistemically irrational groups and that, conversely, epistemically rational groups might be composed of epistemically irrational individuals. We call the conjunction of these two claims the Independence Thesis, as they together imply that methodological prescriptions for scientific communities and those for individual scientists might be logically independent of one another. We develop a formal model of scientific inquiry, define four (...)
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  19. Evolutionary epistemology and the origin and evolution of language: taking symbiogenesis seriously.Nathalie Gontier - 2006 - In Nathalie Gontier, Jean Paul van Bendegem & Diederik Aerts (eds.), Evolutionary Epistemology, Language and Culture: A Non-Adaptationist, Systems Theoretical Approach. Springer. pp. 195-226.
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  20. How and when are topological explanations complete mechanistic explanations? The case of multilayer network models.Beate Krickel, Leon de Bruin & Linda Douw - 2023 - Synthese 202 (1):1-21.
    The relationship between topological explanation and mechanistic explanation is unclear. Most philosophers agree that at least some topological explanations are mechanistic explanations. The crucial question is how to make sense of this claim. Zednik (Philos Psychol 32(1):23–51, 2019) argues that topological explanations are mechanistic if they (i) describe mechanism sketches that (ii) pick out organizational properties of mechanisms. While we agree with Zednik’s conclusion, we critically discuss Zednik’s account and show that it fails as a general account of how and (...)
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  21. Australasian Journal of Philosophy 1947–2016: a retrospective using citation and social network analyses.Martin Davies & Angelito Calma - forthcoming - Global Intellectual History.
    In anticipation of the journal’s centenary in 2027 this paper provides a citation network analysis of all available citation and publication data of the Australasian Journal of Philosophy (1923–2017). A total of 2,353 academic articles containing 21,772 references were collated and analyzed. This includes 175 articles that contained author-submitted keywords, 415 publisher-tagged keywords and 519 articles that had abstracts. Results initially focused on finding the most published authors, most cited articles and most cited authors within the journal, followed by (...)
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  22. A philosophy of transport: Michel Serres’ recursive epistemology in the Hermes pentalogy.Thomas Sutherland - 2021 - Media Theory 5 (1):201-218.
    Focusing upon the five books of his early Hermes series, this article argues that Michel Serres furnishes an accomplished, unconventional philosophical account of communication and mediation-a structuralist epistemology designed to comprehend the sciences in their complexity and plurality-that, even decades after its first publication, has significant value for media theory. Two key themes within this pentalogy are highlighted: firstly, its emphasis upon motifs of communication, transport, and circulation, attempting to grasp the scientific field in topological terms, as a kind (...)
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  23. Three Concepts of Chemical Closure and their Epistemological Significance.Joseph E. Earley - 2013 - In Jean-Pierre Llored (ed.), The Philosophy of Chemistry: Practices, Methodologies, and Concepts. Cambridge Scholars Press. pp. 506-616.
    Philosophers have long debated ‘substrate’ and ‘bundle’ theories as to how properties hold together in objects ― but have neglected to consider that every chemical entity is defined by closure of relationships among components ― here designated ‘Closure Louis de Broglie.’ That type of closure underlies the coherence of spectroscopic and chemical properties of chemical substances, and is importantly implicated in the stability and definition of entities of many other types, including those usually involved in philosophic discourse ― such as (...)
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  24. (2012) COGNITIVE NEUROSCIENCE VERSUS EPISTEMOLOGICALLY DIFFERENT WORLDS.Gabriel Vacariu - 2012 - Bucharest: Bucharest University Press.
    CONTENT Introduction .................................................................................. 9 1. The unexpected: “Epistemologically Different Worlds” .......... 15 1.1 Introduction ........................................................................ 15 1.2 Definitions .......................................................................... 16 1.3 Propositions for its .............................................................. 18 1.4 Propositions for Its and being ............................................ 24 1.5 The hyperverse ................................................................... 30 2. A general view on cognitive neuroscience................................ 37 3. Optimism for localization and the “mind reading”................... 58 3.1 Bechtel’s optimism ............................................................. 58 3.2 Gallant’s laboratory work................................................... 67 3.3 Other optimistic works ....................................................... 75 4. Skepticism in cognitive neuroscience....................................... 81 4.1 Hardcastle’s skepticism (...)
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  25. Informational Quality Labeling on Social Media: In Defense of a Social Epistemology Strategy.John P. Wihbey, Matthew Kopec & Ronald Sandler - manuscript
    Social media platforms have been rapidly increasing the number of informational labels they are appending to user-generated content in order to indicate the disputed nature of messages or to provide context. The rise of this practice constitutes an important new chapter in social media governance, as companies are often choosing this new “middle way” between a laissez-faire approach and more drastic remedies such as removing or downranking content. Yet information labeling as a practice has, thus far, been mostly tactical, reactive, (...)
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  26. Historical and epistemological perspectives on what Lateral Gene Transfer mechanisms contribute to our understanding of evolution.Nathalie Gontier - 2015 - In Reticulate Evolution: Symbiogenesis, Lateral Gene Transfer, Hybridization and Infectious heredity. Springer. pp. 121-178.
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  27. Weaponized skepticism: An analysis of social media deception as applied political epistemology.Regina Rini - 2021 - In Elizabeth Edenberg & Michael Hannon (eds.), Political Epistemology. Oxford: Oxford University Press. pp. 31-48.
    Since at least 2016, many have worried that social media enables authoritarians to meddle in democratic politics. The concern is that trolls and bots amplify deceptive content. In this chapter I argue that these tactics have a more insidious anti-democratic purpose. Lies implanted in democratic discourse by authoritarians are often intended to be caught. Their primary goal is not to successfully deceive, but rather to undermine the democratic value of testimony. In well-functioning democracies, our mutual reliance on testimony also generates (...)
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  28. INFORMATION COMMUNICATION TECHNOLOGY IN THE ERA OF POST-TRUTH CHALLENGE: BEYOND LOGIC AND EPISTEMOLOGY.Alloy Ihuah - manuscript
    Human actions and decisions are most of the times not only grounded on emotional reactions, they are irrationally debasing. While such emotions and heuristics were perhaps suitable for dealing with life in the Stone Age, they are woefully inadequate in the Silicon Age. The substitution of traditional news agencies and communication platforms in Nigeria with social media networks has not only increased human capacities, it has aided the common good and further eased communication and increased the human knowledge base. For (...)
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  29. A Review of Data-Intensive Approaches for Sustainability: Methodology, Epistemology, Normativity, and Ontology.Vivek Anand Asokan - 2020 - Sustainability Science 15.
    With the growth of data, data-intensive approaches for sustainability are becoming widespread and have been endorsed by various stakeholders. To understand their implications, in this paper data-intensive approaches for sustainability will be explored by conducting an extensive review. The current data-intensive approaches are defined as an amalgamation of traditional data-collection methods, like surveys and data from monitoring networks, with new data-collection methods that involve new information communication technology. Based on a comprehensive review of the current dataintensive approaches for sustainability, key (...)
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  30.  46
    The Ecology of (dis-)Engagement in Digital Environments.Emanuele Arielli - 2024 - Topoi 43 (4):1-10.
    This paper explores some features of the epistemic environment in social media and online communication. We argue that digital environments differ from offline ones in at least two ways: (a) online environments are thoroughly structured and programmed. Every action is defined and limited by the underlying code created by the system’s developers, providing the tools users need to navigate the online space. In contrast, offline environments are open to chance and unpredictability, allowing for events and actions that the system has (...)
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  31. Wisdom of the Crowds vs. Groupthink: Learning in Groups and in Isolation.Conor Mayo-Wilson, Kevin Zollman & David Danks - 2013 - International Journal of Game Theory 42 (3):695-723.
    We evaluate the asymptotic performance of boundedly-rational strategies in multi-armed bandit problems, where performance is measured in terms of the tendency (in the limit) to play optimal actions in either (i) isolation or (ii) networks of other learners. We show that, for many strategies commonly employed in economics, psychology, and machine learning, performance in isolation and performance in networks are essentially unrelated. Our results suggest that the appropriateness of various, common boundedly-rational strategies depends crucially upon the social context (if any) (...)
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  32. Track Records: A Cautionary Tale.Alice C. W. Huang - forthcoming - British Journal for the Philosophy of Science.
    In the literature on expert trust, it is often assumed that track records are the gold standard for evaluating expertise, and the difficulty of expert identification arises from either the lack of access to track records, or the inability to assess them. I show, using a computational model, that even in an idealized environment where agents have a God’s eye view on track records, they may fail to identify experts. Under plausible conditions, selecting testimony based on track records ends up (...)
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  33. What an Entangled Web We Weave: An Information-centric Approach to Time-evolving Socio-technical Systems.Markus Luczak-Roesch, Kieron O’Hara, Jesse David Dinneen & Ramine Tinati - 2018 - Minds and Machines 28 (4):709-733.
    A new layer of complexity, constituted of networks of information token recurrence, has been identified in socio-technical systems such as the Wikipedia online community and the Zooniverse citizen science platform. The identification of this complexity reveals that our current understanding of the actual structure of those systems, and consequently the structure of the entire World Wide Web, is incomplete, which raises novel questions for data science research but also from the perspective of social epistemology. Here we establish the principled (...)
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  34. Vectors of epistemic insecurity.Emily Sullivan & Mark Alfano - 2020 - In Ian James Kidd, Quassim Cassam & Heather Battaly (eds.), Vice Epistemology. New York, NY: Routledge.
    Epistemologists have addressed a variety of modal epistemic standings, such as sensitivity, safety, risk, and epistemic virtue. These concepts mark out the ways that beliefs can fail to track the truth, articulate the conditions needed for knowledge, and indicate ways to become a better epistemic agent. However, it is our contention that current ways of carving up epistemic modality ignore the complexities that emerge when individuals are embedded within a community and listening to a variety of sources, some of whom (...)
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  35. Geometric Pooling: A User's Guide.Richard Pettigrew & Jonathan Weisberg - forthcoming - British Journal for the Philosophy of Science.
    Much of our information comes to us indirectly, in the form of conclusions others have drawn from evidence they gathered. When we hear these conclusions, how can we modify our own opinions so as to gain the benefit of their evidence? In this paper we study the method known as geometric pooling. We consider two arguments in its favour, raising several objections to one, and proposing an amendment to the other.
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  36. Why and how to construct an epistemic justification of machine learning?Petr Spelda & Vit Stritecky - 2024 - Synthese 204 (2):1-24.
    Consider a set of shuffled observations drawn from a fixed probability distribution over some instance domain. What enables learning of inductive generalizations which proceed from such a set of observations? The scenario is worthwhile because it epistemically characterizes most of machine learning. This kind of learning from observations is also inverse and ill-posed. What reduces the non-uniqueness of its result and, thus, its problematic epistemic justification, which stems from a one-to-many relation between the observations and many learnable generalizations? The paper (...)
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  37. A model of jury decisions where all jurors have the same evidence.Franz Dietrich & Christian List - 2004 - Synthese 142 (2):175 - 202.
    Under the independence and competence assumptions of Condorcet’s classical jury model, the probability of a correct majority decision converges to certainty as the jury size increases, a seemingly unrealistic result. Using Bayesian networks, we argue that the model’s independence assumption requires that the state of the world (guilty or not guilty) is the latest common cause of all jurors’ votes. But often – arguably in all courtroom cases and in many expert panels – the latest such common cause is a (...)
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  38. The Museum on the Edge of Forever.Jenny Walklate - 2014 - Teorie Vědy / Theory of Science 36 (1):49-76.
    This article argues that understanding any space or site relies on a knowledge of its fourth dimension - the timescape. It will explore this by situating the investigation in the museum - a place of heightened contrivance which could easily be shallowly interpreted as "mere style". It will defend a new method of investigating museum temporality which combines both phenomenology and literary theory, and will replace the idea of geo-epistemology with geochronic epistemology: an understanding of context and situation (...)
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  39. The structure of epistemic probabilities.Nevin Climenhaga - 2020 - Philosophical Studies 177 (11):3213-3242.
    The epistemic probability of A given B is the degree to which B evidentially supports A, or makes A plausible. This paper is a first step in answering the question of what determines the values of epistemic probabilities. I break this question into two parts: the structural question and the substantive question. Just as an object’s weight is determined by its mass and gravitational acceleration, some probabilities are determined by other, more basic ones. The structural question asks what probabilities are (...)
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  40. SOCIAL VERIFICATION – HUMAN DIMENSONS OF THEORETICAL SCIENCE AND HIGH-TECH (CASUS BIOETHICS). Part Three. DYNAMICS OF GROWTH OF NEW KNOWLEDGE IN POSTACADEMICAL SCIENCE.Valentin Cheshko & Yulia Kosova - 2012 - Practical Philosophy 1:59-69.
    The new phase of science evolution is characterized by totality of subject and object of cognition and technology (high-hume). As a result, forming of network structure in a disciplinary matrix modern are «human dimensional» natural sciences and two paradigmal «nuclei» (attraktors). As a result, the complication of structure of disciplinary matrix and forming a few paradigm nuclei in modern «human dimensional» natural sciences are observed. In the process of social verification integration of scientific theories into the existent system of (...)
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  41. Mobile Learning: Essays on Philosophy, Psychology and Education.Kristóf Nyíri (ed.) - 2003 - Passagen Verlag.
    The changing conditions for the accumulation and transmission of knowledge in the age of multimedia networks make it inevitable that old philosophical problems become formulated in a new light. Above all, the problem of the unity of knowledge is once again a topical issue. The situation-dependent acquisition of knowledge that is made possible by mobile learning transcends the boundaries of traditional disciplines, linking the domains of text, diagram, and picture. Database integration and multimedia search become central problems in the (...) of the 21st century, while handheld devices are emerging as vital technologies for supporting collaborative learning. -- Kristóf Nyíri has published widely on Wittgenstein, Austrian intellectual history, and the philosophy of communication. He directs the interdisciplinary research program COMMUNICATIONS IN THE 21ST CENTURY, conducted jointly by the Institute for Philosophical Research of the Hungarian Academy of Sciences and Westel Mobile Telecommunications, Budapest. (shrink)
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  42.  22
    Category-theoretic formulation of relational materialism.Bekir Baytaş & Ozan Ekin Derin - manuscript
    This brief brochure is intended to present a philosophical theory known as re- lational materialism. We introduce the postulates and principles of the theory, ar- ticulating its ontological and epistemological content using the language of category theory. The identification of any existing entity is primarily characterized by its relational, finite, and non-static nature. Furthermore, we provide a categorical con- struction of particularities within the relational materialist onto-epistemology. Our objective is to address and transform a specific perspective prevalent in scientific (...)
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  43. The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence.David Watson - 2019 - Minds and Machines 29 (3):417-440.
    Artificial intelligence has historically been conceptualized in anthropomorphic terms. Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital isomorphism of the human brain. Others leverage more general learning strategies that happen to coincide with popular theories of cognitive science and social epistemology. In this paper, I challenge the anthropomorphic credentials of the neural network algorithm, whose similarities to human cognition I argue are vastly overstated and narrowly construed. I submit that three alternative (...)
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  44. Echo Chambers and Social Media: On the Possibilities of a Tax Incentive Solution.Megan Fritts - 2023 - Social Epistemology Review and Reply Collective 12 (7):13-19.
    In “Regulating social media as a public good: Limiting epistemic segregation” (2022), Toby Handfield tackles a well-known problematic aspect of widespread social media use: the formation of ideologically monotone and insulated social networks. Handfield argues that we can take some cues from economics to reduce the extent to which echo chambers grow up around individual users. Specifically, he argues that tax incentives to encourage network heterophily may be levied at any of three different groups: individual social media users, social (...)
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  45. Principles of Information Processing and Natural Learning in Biological Systems.Predrag Slijepcevic - 2021 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 52 (2):227-245.
    The key assumption behind evolutionary epistemology is that animals are active learners or ‘knowers’. In the present study, I updated the concept of natural learning, developed by Henry Plotkin and John Odling-Smee, by expanding it from the animal-only territory to the biosphere-as-a-whole territory. In the new interpretation of natural learning the concept of biological information, guided by Peter Corning’s concept of “control information”, becomes the ‘glue’ holding the organism–environment interactions together. The control information guides biological systems, from bacteria to (...)
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  46. The Collective Construction of Technology: Re-Narrating Bicycle Development in an ANT Atmosphere.Rahman Sharifzadeh - 2022 - Social Epistemology 36 (6):759-772.
    One way to compare different theoretical approaches to the study of technologies is to see what the difference is between their narratives of the construction of a particular technology. In this paper, we re-narrate the bicycle construction from the perspective of actor-network theory (ANT), comparing to SCOT’s first account of the construction. Although SCOT has moved closer to actor-network theory later by paying more attention to co-construction and materliaty, Pinch and Biker have not modified their account of the (...)
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  47. How should we promote transient diversity in science?Jingyi Wu & Cailin O’Connor - 2023 - Synthese 201 (2):1-24.
    Diversity of practice is widely recognized as crucial to scientific progress. If all scientists perform the same tests in their research, they might miss important insights that other tests would yield. If all scientists adhere to the same theories, they might fail to explore other options which, in turn, might be superior. But the mechanisms that lead to this sort of diversity can also generate epistemic harms when scientific communities fail to reach swift consensus on successful theories. In this paper, (...)
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  48. Collaborative Creation of Teaching Learning Sequences and an Atlas of Knowledgge.Nagarjuna G. - 2009 - Mathematics Teaching-Research Journal Online 3 (3):23.
    The article is about a new online resource, a collaborative portal for teachers, which publishes a network of prerequisites for teaching/learning any concept or an activity. A simple and effective method of collaboratively constructing teaching-learning sequences is presented. The special emergent properties of the dependency network and their didactic and epistemic implications are pointed. The article ends with an appeal to the global teaching community to contribute prerequisites of any subject to complete the global roadmap for an altas (...)
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  49.  73
    A feeling for the algorithm: Diversity, expertise and artificial intelligence.Catherine Stinson & Sofie Vlaad - 2024 - Big Data and Society 11 (1).
    Diversity is often announced as a solution to ethical problems in artificial intelligence (AI), but what exactly is meant by diversity and how it can solve those problems is seldom spelled out. This lack of clarity is one hurdle to motivating diversity in AI. Another hurdle is that while the most common perceptions about what diversity is are too weak to do the work set out for them, stronger notions of diversity are often defended on normative grounds that fail to (...)
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  50. The Vienna Circle’s “Scientific World-Conception”: Philosophy of Science in the Political Arena.Donata Romizi - 2012 - Hopos: The Journal of the International Society for the History of Philosophy of Science 2 (2):205-242.
    This article is intended as a contribution to the current debates about the relationship between politics and the philosophy of science in the Vienna Circle. I reconsider this issue by shifting the focus from philosophy of science as theory to philosophy of science as practice. From this perspective I take as a starting point the Vienna Circle’s scientific world-conception and emphasize its practical nature: I reinterpret its tenets as a set of recommendations that express the particular epistemological attitude in which (...)
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