- Computational Modeling in Philosophy.Simon Scheller, Merdes Christoph & Stephan Hartmann (eds.) - 2022details
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Endogenous epistemic factionalization.James Owen Weatherall & Cailin O’Connor - 2020 - Synthese 198 (Suppl 25):6179-6200.details
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Conformity in scientific networks.James Owen Weatherall & Cailin O’Connor - 2018 - Synthese:1-22.details
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Computational modeling in philosophy: introduction to a topical collection.Simon Scheller, Christoph Merdes & Stephan Hartmann - 2022 - Synthese 200 (2):1-10.details
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Let’s not agree to disagree: the role of strategic disagreement in science.Carlos Santana - 2019 - Synthese 198 (Suppl 25):6159-6177.details
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Rethinking the history of peptic ulcer disease and its relevance for network epistemology.Bartosz Michał Radomski, Dunja Šešelja & Kim Naumann - 2021 - History and Philosophy of the Life Sciences 43 (4):1-23.details
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Formal models of the scientific community and the value-ladenness of science.Vincenzo Politi - 2021 - European Journal for Philosophy of Science 11 (4):1-23.details
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Argumentation, cognition, and the epistemic benefits of cognitive diversity.Renne Pesonen - 2022 - Synthese 200 (4):1-17.details
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Conformity in scientific networks.Cailin O’Connor & James Owen Weatherall - 2020 - Synthese 198 (8):7257-7278.details
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Structure-sensitive testimonial norms.Benedikt T. A. Höltgen - 2021 - European Journal for Philosophy of Science 11 (3):1-23.details
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Truth tracking performance of social networks: how connectivity and clustering can make groups less competent.Ulrike Hahn, Jens Ulrik Hansen & Erik J. Olsson - 2020 - Synthese 197 (4):1511-1541.details
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Collectives and Epistemic Rationality.Ulrike Hahn - 2022 - Topics in Cognitive Science 14 (3):602-620.details
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What Is the Epistemic Function of Highly Idealized Agent-Based Models of Scientific Inquiry?Daniel Frey & Dunja Šešelja - 2018 - Philosophy of the Social Sciences 48 (4):407-433.details
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Pursuit and inquisitive reasons.Will Fleisher - 2022 - Studies in History and Philosophy of Science Part A 94 (C):17-30.details
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Diversity, Trust, and Conformity: A Simulation Study.Sina Fazelpour & Daniel Steel - 2022 - Philosophy of Science 89 (2):209-231.details
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Some lessons from simulations of scientific disagreements.Dunja Šešelja - 2019 - Synthese 198 (Suppl 25):6143-6158.details
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Exploring Scientific Inquiry via Agent-Based Modelling.Dunja Šešelja - 2021 - Perspectives on Science 29 (4):537-557.details
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Formal Models of Scientific Inquiry in a Social Context: An Introduction.Dunja Šešelja, Christian Straßer & AnneMarie Borg - 2020 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 51 (2):211-217.details
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Agent‐based models of scientific interaction.Dunja Šešelja - 2022 - Philosophy Compass 17 (7):e12855.details
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Pandemics and flexible lockdowns: In praise of agent-based modeling.Igor Douven - 2023 - European Journal for Philosophy of Science 13 (3):1-27.details
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Network effects in a bounded confidence model.Igor Douven & Rainer Hegselmann - 2022 - Studies in History and Philosophy of Science Part A 94 (C):56-71.details
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Against natural kind eliminativism.Stijn Conix & Pei-Shan Chi - 2020 - Synthese 198 (9):8999-9020.details
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Theory-choice, transient diversity and the efficiency of scientific inquiry.AnneMarie Borg, Daniel Frey, Dunja Šešelja & Christian Straßer - 2019 - European Journal for Philosophy of Science 9 (2):26.details
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Theory-choice, transient diversity and the efficiency of scientific inquiry.AnneMarie Borg, Daniel Frey, Dunja Šešelja & Christian Straßer - 2019 - European Journal for Philosophy of Science 9 (2):26.details
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Argumentative landscapes: the function of models in social epistemology.N. Emrah Aydinonat, Samuli Reijula & Petri Ylikoski - 2021 - Synthese 199 (1-2):369-395.details
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Can Confirmation Bias Improve Group Learning?Nathan Gabriel & Cailin O'Connor - unknowndetails
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Rethinking the History of Peptic Ulcer Disease and its Relevance for Network Epistemology.Bartosz Radomski, Dunja Šešelja & Naumann Kim - forthcoming - History and Philosophy of the Life Sciences.details
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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.details
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Optimization of Scientific Reasoning: a Data-Driven Approach.Vlasta Sikimić - 2019 - Dissertation, details
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