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  1. L’étalonnage des instruments de mesure en physique expérimentale : le cas du télescope spatial James Webb.Carlo Calvi - 2024 - Dissertation, Université de Montréal
    Philosophers and scientists have often adopted the orthodox version of calibration which involves standardizing an instrument using a known phenomenon. The essential link between theoretical concepts and empirical data, in the philosophy of measurement, has generated the formulation of principles of coordination, synthetic a priori, and revisables. Operationalist thinking wanted to limit the scope of concepts to operations of measurement that are actually achievable. The coherentist perspective in the philosophy of measurement has operated a recovery of coordinationist epistemology and operationalism, (...)
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  • Calibration: Modelling the measurement process.Eran Tal - 2017 - Studies in History and Philosophy of Science Part A 65:33-45.
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  • What is a Computer Simulation? A Review of a Passionate Debate.Nicole J. Saam - 2017 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 48 (2):293-309.
    Where should computer simulations be located on the ‘usual methodological map’ which distinguishes experiment from theory? Specifically, do simulations ultimately qualify as experiments or as thought experiments? Ever since Galison raised that question, a passionate debate has developed, pushing many issues to the forefront of discussions concerning the epistemology and methodology of computer simulation. This review article illuminates the positions in that debate, evaluates the discourse and gives an outlook on questions that have not yet been addressed.
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  • A Minimalist Epistemology for Agent-Based Simulations in the Artificial Sciences.Giuseppe Primiero - 2019 - Minds and Machines 29 (1):127-148.
    The epistemology of computer simulations has become a mainstream topic in the philosophy of technology. Within this large area, significant differences hold between the various types of models and simulation technologies. Agent-based and multi-agent systems simulations introduce a specific constraint on the types of agents and systems modelled. We argue that such difference is crucial and that simulation for the artificial sciences requires the formulation of its own specific epistemological principles. We present a minimally committed epistemology which relies on the (...)
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  • Why knowledge is the property of a community and possibly none of its members.Boaz Miller - 2015 - Philosophical Quarterly 65 (260):417-441.
    Mainstream analytic epistemology regards knowledge as the property of individuals, rather ‎than groups. Drawing on insights from the reality of knowledge production and dissemination ‎in the sciences, I argue, from within the analytic framework, that this view is wrong. I defend ‎the thesis of ‘knowledge-level justification communalism’, which states that at least some ‎knowledge, typically knowledge obtained from expert testimony, is the property of a ‎community and possibly none of its individual members, in that only the community or some ‎members (...)
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  • Simulated Data in Empirical Science.Aki Lehtinen & Jani Raerinne - forthcoming - Foundations of Science:1-22.
    This paper provides the first systematic epistemological account of simulated data in empirical science. We focus on the epistemic issues modelers face when they generate simulated data to solve problems with empirical datasets, research tools, or experiments. We argue that for simulated data to count as epistemically reliable, a simulation model does not have to mimic its target. Instead, some models take empirical data as a target, and simulated data may successfully mimic such a target even if the model does (...)
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  • Les simulations sont-elles des expériences numériques?Julie Jebeile - 2016 - Dialogue 55 (1):59-86.
    Some philosophers see an analogy between simulation and experiment. But, once we acknowledge some similarities between computer simulations and experiments, can we conclude from them that simulations generate empirical knowledge, as experiments do? In this paper, I argue that the similarities between simulation and experiment give the scientist at most the illusion that she is conducting an experiment, but cannot seriously ground the analogy. However, it does not follow that experiments are always epistemologically superior to simulations. I analyze the cases (...)
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  • Hieroglyfické písmo.Tomáš Dvořák - 2017 - Teorie Vědy / Theory of Science 39 (1):83-107.
    Studie komentuje a kriticky rozvádí Ginzburgovu koncepci indexického paradigmatu ve vědách o člověku. Zasazuje metodu čtení vedlejších detailů coby indikátorů nějaké přímo nepřístupné skutečnosti do historického, kulturního a zejm. technického kontextu na příkladech proměn lékařské diagnostiky či znalectví umění. Sleduje souvislosti mezi vývojem gramotnosti, písmových forem a grafologických postupů v 19. století a nástup technických forem zápisu, který vnesl do řady oborů nové postupy interpretace a analýzy a zproblematizoval tradiční hranice mezi přírodními, sociálními a humanitními vědami.
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  • The Non-theory-driven Character of Computer Simulations and Their Role as Exploratory Strategies.Juan M. Durán - 2023 - Minds and Machines 33 (3):487-505.
    In this article, I focus on the role of computer simulations as exploratory strategies. I begin by establishing the non-theory-driven nature of simulations. This refers to their ability to characterize phenomena without relying on a predefined conceptual framework that is provided by an implemented mathematical model. Drawing on Steinle’s notion of exploratory experimentation and Gelfert’s work on exploratory models, I present three exploratory strategies for computer simulations: (1) starting points and continuation of scientific inquiry, (2) varying the parameters, and (3) (...)
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