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Sjoerd D. Zwart [8]Sjoerd Douwe Zwart [1]
  1. Sven Diekmann & Sjoerd D. Zwart (forthcoming). Modeling for Fairness: A Rawlsian Approach. Studies in History and Philosophy of Science Part A.
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  2. Martin Peterson & Sjoerd D. Zwart (forthcoming). Values and Norms in Modeling. Studies in History and Philosophy of Science Part A.
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  3. Wybo Houkes & Sjoerd D. Zwart, Transfer and Templates in Scientific Modeling.
    The notion of (computational) template has recently been discussed in relation to cross-disciplinary transfer of modeling efforts and in relation to the representational content of models. We further develop and disambiguate the notion of template and find that, suitably developed, it is useful in distinguishing and analyzing different types of transfer, none of which supports a non-representationalist view of models. We illustrate our main findings with the modeling of technology substitution with Lotka-Volterra Competition equations.
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  4. Gerard R. Renardel de Lavalette & Sjoerd D. Zwart (2011). Belief Revision and Verisimilitude Based on Preference and Truth Orderings. Erkenntnis 75 (2):237-254.
    In this rather technical paper we establish a useful combination of belief revision and verisimilitude according to which better theories provide better predictions, and revising with more verisimilar data results in theories that are closer to the truth. Moreover, this paper presents two alternative definitions of refined verisimilitude, which are more perspicuous than the algebraic version used in previous publications.
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  5. Gerard R. Renardel de Lavalette & Sjoerd D. Zwart (2011). Belief Revision and Verisimilitude Based on Preference and Truth Orderings. Erkenntnis 75 (2):237 - 254.
    In this rather technical paper we establish a useful combination of belief revision and verisimilitude according to which better theories provide better predictions, and revising with more verisimilar data results in theories that are closer to the truth. Moreover, this paper presents two alternative definitions of refined verisimilitude, which are more perspicuous than the algebraic version used in previous publications.
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  6. Sjoerd D. Zwart & Maarten Franssen (2007). An Impossibility Theorem for Verisimilitude. Synthese 158 (1):75 - 92.
    In this paper, we show that Arrow’s well-known impossibility theorem is instrumental in bringing the ongoing discussion about verisimilitude to a more general level of abstraction. After some preparatory technical steps, we show that Arrow’s requirements for voting procedures in social choice are also natural desiderata for a general verisimilitude definition that places content and likeness considerations on the same footing. Our main result states that no qualitative unifying procedure of a functional form can simultaneously satisfy the requirements of Unanimity, (...)
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  7. Sjoerd D. Zwart, Ibo van de Poel, Harald van Mil & Michiel Brumsen (2006). A Network Approach for Distinguishing Ethical Issues in Research and Development. Science and Engineering Ethics 12 (4):663-684.
    In this paper we report on our experiences with using network analysis to discern and analyse ethical issues in research into, and the development of, a new wastewater treatment technology. Using network analysis, we preliminarily interpreted some of our observations in a Group Decision Room (GDR) session where we invited important stakeholders to think about the risks of this new technology. We show how a network approach is useful for understanding the observations, and suggests some relevant ethical issues. We argue (...)
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  8. Sjoerd D. Zwart (2005). Updating Theories. Poznan Studies in the Philosophy of the Sciences and the Humanities 83 (1):375-395.
    Kuipers' choice to let logical models of a theory represent the applications or evidence of that theory leads to various problems in ICR. In this paper I elaborate on four of them. 1. In contrast to applications of a theory, logical models are mutually incompatible. 2. An increase and a decrease of a set of models both represent an increase of logical strength; I call this the ICR paradox of logical strength. 3. The evidence logically implies the strongest empirical law. (...)
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