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Profile: Jan-Willem Romeijn (University of Groningen)
  1. Jan-Willem Romeijn, Interventions: A Case Study in Formalisation.
    In this paper I discuss probabilistic models of experimental intervention, and I show that such models elucidate the intuition that observations during intervention are more informative than observations per se. Because of this success, it seems attractive to also cast other problems addressed by the philosophy of experimentation in terms of such probabilistic models. However, a critical examination of the models reveals that some of the aspects of experimentation are covered up rather than resolved by probabilistic modelling. I end by (...)
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  2. Jan-Willem Romeijn, Meaning Shifts and Conditioning.
    This paper investigates the viability of the Bayesian model of belief change. Van Benthem (2003) has shown that a particular kind of information change typical for dynamic epistemic logic cannot be modelled by Bayesian conditioning. I argue that the problems described by van Benthem come about because the information change alters the semantics in which the change is supposed to be modelled by conditioning: it induces a shift in meanings. I then show that meaning shifts can be modelled in terms (...)
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  3. Jan-Willem Romeijn, Statistics as Inductive Inference.
    An inductive logic is a system of inference that describes the relation between propositions on data, and propositions that extend beyond the data, such as predictions over future data, and general conclusions on all possible data. Statistics, on the other hand, is a mathematical discipline that describes procedures for deriving results about a population from sample data. These results include predictions on future samples, decisions on rejecting or accepting a hypothesis about the population, the determination of probability assignments over such (...)
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  4. Jan-Willem Romeijn & Olivier Roy (2014). Radical Uncertainty: Beyond Probabilistic Models of Belief. Erkenntnis 79 (6):1221-1223.
    Over the past decades or so the probabilistic model of rational belief has enjoyed increasing interest from researchers in epistemology and the philosophy of science. Of course, such probabilistic models were used for much longer in economics, in game theory, and in other disciplines concerned with decision making. Moreover, Carnap and co-workers used probability theory to explicate philosophical notions of confirmation and induction, thereby targeting epistemic rather than decision-theoretic aspects of rationality. However, following Carnap’s early applications, philosophy has more recently (...)
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  5. Jan-Willem Romeijn (2012). Conditioning and Interpretation Shifts. Studia Logica 100 (3):583-606.
    This paper develops a probabilistic model of belief change under interpretation shifts, in the context of a problem case from dynamic epistemic logic. Van Benthem [4] has shown that a particular kind of belief change, typical for dynamic epistemic logic, cannot be modelled by standard Bayesian conditioning. I argue that the problems described by van Benthem come about because the belief change alters the semantics in which the change is supposed to be modelled: the new information induces a shift in (...)
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  6. Denny Borsboom, Eric-Jan Wagenmakers & Jan-Willem Romeijn (2011). Mechanistic Curiosity Will Not Kill the Bayesian Cat. Behavioral and Brain Sciences 34 (4):192-193.
    Jones & Love (J&L) suggest that Bayesian approaches to the explanation of human behavior should be constrained by mechanistic theories. We argue that their proposal misconstrues the relation between process models, such as the Bayesian model, and mechanisms. While mechanistic theories can answer specific issues that arise from the study of processes, one cannot expect them to provide constraints in general.
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  7. Igor Douven & Jan-Willem Romeijn (2011). A New Resolution of the Judy Benjamin Problem. Mind 120 (479):637-670.
    Van Fraassen's Judy Benjamin problem has generally been taken to show that not all rational changes of belief can be modelled in a probabilistic framework if the available update rules are restricted to Bayes's rule and Jeffrey's generalization thereof. But alternative rules based on distance functions between probability assignments that allegedly can handle the problem seem to have counterintuitive consequences. Taking our cue from a recent proposal by Bradley, we argue that Jeffrey's rule can solve the Judy Benjamin problem after (...)
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  8. Rolf Haenni, Jan-Willem Romeijn, Gregory Wheeler & Jon Williamson (2011). Probabilistic Logics and Probabilistic Networks. Synthese Library.
    Additionally, the text shows how to develop computationally feasible methods to mesh with this framework.
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  9. Jan-Willem Romeijn & David Atkinson (2011). A Condorcet Jury Theorem for Unknown Juror Competence. Politics, Philosophy, and Economics 10 (3):237-262.
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  10. Jan-Willem Romeijn & David Atkinson (2011). Learning Juror Competence: A Generalized Condorcet Jury Theorem. Politics, Philosophy and Economics 10 (3):237-262.
    This article presents a generalization of the Condorcet Jury Theorem. All results to date assume a fixed value for the competence of jurors, or alternatively, a fixed probability distribution over the possible competences of jurors. In this article, we develop the idea that we can learn the competence of the jurors by the jury vote. We assume a uniform prior probability assignment over the competence parameter, and we adapt this assignment in the light of the jury vote. We then compute (...)
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  11. Igor Douven, Leon Horsten & Jan-Willem Romeijn (2010). Probabilist antirealism. Pacific Philosophical Quarterly 91 (1):38-63.
    Until now, antirealists have offered sketches of a theory of truth, at best. In this paper, we present a probabilist account of antirealist truth in some formal detail, and we assess its ability to deal with the problems that are standardly taken to beset antirealism.
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  12. Benedikt Lowe, Jan-Willem Romeijn & Eric Pacuit (eds.) (2008). Proceedings of the Foundations of the Formal Sciences VI: Reasoning About Probabilities and Probabilistic Reasoning. College Publications.
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  13. Jan-Willem Romeijn (2008). Interventies En Conceptuele Veranderingen. Algemeen Nederlands Tijdschrift voor Wijsbegeerte 100 (2).
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  14. Jan-Willem RomeiJn (2008). Book Review of Maria Carla Galavotti's "Philosophical Introduction to Probability&Quot;. [REVIEW] Studies in History and Philosophy of Science Part B 39 (1):225-228.
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  15. Jan-Willem Romeijn & Allard Tamminga (2008). *Wetenschapsfilosofie* door Leon Horsten, Igor Douven en Erik Weber. [REVIEW] Algemeen Nederlands Tijdschrift voor Wijsbegeerte 100 (1):80-83.
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  16. Jan-Willem Romeijn, Jon Williamson, Gregory Wheeler & Rolf Haenni (2008). Possible Semantics for a Common Framework of Probabilistic Logics. In V. N. Huynh (ed.), International Workshop on Interval Probabilistic Uncertainty and Non-Classical Logics. Springer.
    In V. N. Huynh (ed.): Interval / Probabilistic Uncertainty and Non-Classical Logics, Advances in Soft Computing Series, Springer 2008, pp. 268-279. This paper proposes a common framework for various probabilistic logics. It consists of a set of uncertain premises with probabilities attached to them. This raises the question of the strength of a conclusion, but without imposing a particular semantics, no general solution is possible. The paper discusses several possible semantics by looking at it from the perspective of probabilistic argumentation.
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  17. Gregory Wheeler, Jon Williamson, Jan-Willem Romeijn & Rolf Haenni (2008). Possible Semantics for a Common Framework of Probabilistic Logics. In V. N. Huynh (ed.), International Workshop on Interval Probabilistic Uncertainty and Non-Classical Logics. Springer.
    Summary. This paper proposes a common framework for various probabilistic logics. It consists of a set of uncertain premises with probabilities attached to them. This raises the question of the strength of a conclusion, but without imposing a particular semantics, no general solution is possible. The paper discusses several possible semantics by looking at it from the perspective of probabilistic argumentation.
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  18. Jon Williamson, Jan-Willem Romeijn, Rolf Haenni & Gregory Wheeler (2008). Logical Relations in a Statistical Problem. In Benedikt Lowe, Jan-Willem Romeijn & Eric Pacuit (eds.), Proceedings of the Foundations of the Formal Sciences VI: Reasoning about probabilities and probabilistic reasoning. College Publications.
    This paper presents the progicnet programme. It proposes a general framework for probabilistic logic that can guide inference based on both logical and probabilistic input. After an introduction to the framework as such, it is illustrated by means of a toy example from psychometrics. It is shown that the framework can accommodate a number of approaches to probabilistic reasoning: Bayesian statistical inference, evidential probability, probabilistic argumentation, and objective Bayesianism. The framework thus provides insight into the relations between these approaches, it (...)
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  19. Igor Douven & Jan-Willem Romeijn (2007). The Discursive Dilemma as a Lottery Paradox. Economics and Philosophy 23 (3):301-319.
    List and Pettit have stated an impossibility theorem about the aggregation of individual opinion states. Building on recent work on the lottery paradox, this paper offers a variation on that result. The present result places different constraints on the voting agenda and the domain of profiles, but it covers a larger class of voting rules, which need not satisfy the proposition-wise independence of votes.
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  20. Jan-Willem Romeijn (2006). Analogical Predictions for Explicit Similarity. Erkenntnis 64 (2):253 - 280.
    This paper concerns exchangeable analogical predictions based on similarity relations between predicates, and deals with a restricted class of such relations. It describes a system of Carnapian λγ rules on underlying predicate families to model the analogical predictions for this restricted class. Instead of the usual axiomatic definition, the system is characterized with a Bayesian model that employs certain statistical hypotheses. Finally the paper argues that the Bayesian model can be generalized to cover cases outside the restricted class of similarity (...)
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  21. Jan-Willem Romeijn (2005). Theory Change and Bayesian Statistical Inference. Philosophy of Science 72 (5):1174-1186.
  22. Jan-Willem Romeijn (2005). Enantiomorphy and Time. International Studies in the Philosophy of Science 19 (2):167 – 190.
    This article argues that time-asymmetric processes in spacetime are enantiomorphs. Subsequently, the Kantian puzzle concerning enantiomorphs in space is reviewed to introduce a number of positions concerning enantiomorphy, and to arrive at a dilemma: one must either reject that orientations of enantiomorphs are determinate, or furnish space or objects with orientation. The discussion on space is then used to derive two problems in the debate on the direction of time. First, it is shown that certain kinds of reductionism about the (...)
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  23. Jan-Willem Romeijn (2004). Hypotheses and Inductive Predictions. Synthese 141 (3):333 - 364.
    This paper studies the use of hypotheses schemes in generatinginductive predictions. After discussing Carnap–Hintikka inductive logic,hypotheses schemes are defined and illustrated with two partitions. Onepartition results in the Carnapian continuum of inductive methods, the otherresults in predictions typical for hasty generalization. Following theseexamples I argue that choosing a partition comes down to making inductiveassumptions on patterns in the data, and that by choosing appropriately anyinductive assumption can be made. Further considerations on partitions makeclear that they do not suggest any solution (...)
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