PPM Seminar Series Summer Semester 2005
   

PPM Seminar Series Summer Semester 2005

Friday, 22 April 2005

      University of Konstanz, Z9 Teeküche

      1:15-2:45pm: "Voting power: towards a revision of the paradigm", Federico Valenciano (Universidad del Pais Vasco)

      3:15-4:45pm:"Shedding New Light on Zadeh's Criticism of Dempster's Rule of Combination", Rolf Haenni (Bern)


Friday, 6 May 2005

      University of Konstanz, Z9 Teeküche

      1:15-2:45pm: "Unmasking the doctrinal paradox: Group decision-making without fear", Gabriella Pigozzi (Konstanz)

      3:15-4:45pm: "Freedom, Power, and Success: A Game Theoretic Perspective", Matthew Braham (Hamburg)


Friday, 13 May 2005 (Joint meeting with the PPP group)

      University of Konstanz, Z9 Teeküche

      1:15-2:45pm: "Pessimistic Meta-Induction and the Exponential Growth of Science", Ludwig Fahrbach (Konstanz)

      3:15-4:45pm: "Quantum Theory and Causality - Recent Experiments", Brigitte Falkenburg (Dortmund)


Friday, 27 May 2005

      University of Konstanz, Z9 Teeküche

Note the unusual times! Note also, that the order of the talks might be changed.

      1:00-2:30pm: "The Frequency Theory of Probability: A Defense", Gerhard Schurz (Düsseldorf)

      2:30-4:00pm: "Prediction asymmetries of generalizations and instantiations", Berna Kilinc (Istanbul, Konstanz)


Friday, 10 June 2005 (The afternoon sessions are a joint meeting with the PPP group)

      University of Konstanz, Z9 Teeküche

       10:15-11:45am: "Statistical Inference, the Problem of Induction, and the Realism Debate", Jan Willem Romeyn (Groningen)

       1:15-2:45pm: "On the statistical viewpoint on 'entropy increase' - A Reminder on the Ehrenfests' Urn Model", Domenico Giulini (Freiburg)

       3:15-4:45pm: "What's so special about general relativity?", Oliver Pooley (Oxford)


Friday, 24 June 2005

      There is a conference on Michael Smith cosponsered by PPM


Thursday, 7 July 2005 - Saturday, 9 July 2005

      PROGIC conference by Jon Williamson in LSE cosponsered by PPM


Thursday, 14 July 2005

       10:15-11:45am: "Utilitarianism and prioritarianism", David McCarthy (Edinburgh, Konstanz)

       12:15-01:45pm: PPM at the Jour fixe of the Center for Junior Research Fellows


Friday, 15 July 2005 (The afternoon sessions are a joint meeting with the PPP group)

      University of Konstanz, Z9 Teeküche

       10:30-12:00am: "Simulating Democracy - Modeling as Theorizing vs Modeling as Problem Solving", Peter Towbin (Santa Cruz)

       1:15-2:45pm: "Counterfactuals and Entropy", Matthias Frisch (Baltimore)

       3:15-4:45pm: "Costs and gains of a Hamiltonian formulation of general relativity", Christian Wüthrich (Pittsburgh)


There will be another talk by Christian List (London) in July or August


Abstracts:


"Freedom, Power, and Success: A Game Theoretic Perspective", Matthew Braham (Hamburg)

The paper is available here.


"Pessimistic Meta-Induction and the Exponential Growth of Science", Ludwig Fahrbach (Konstanz)

In my talk I show that the argument of pessimistic meta-induction (PMI) is inconclusive. The premise of the PMI states that in the history of science, there have been many radical theory-changes: many scientific theories were highly successful and therefore accepted as true, but later rejected as false. (A theory is successful iff it makes correct observable predictions and fits with the data.) The conclusion of the PMI states that most currently accepted theories, although empirically successful, will probably be rejected as false in the future. Thus, the success of a theory is not a good indicator for its truth.
I claim that the premise of the PMI is not sufficiently precise. A more precise premise should weight every period of time by the respective amount of scientific work done in that period of time. Most of the scientific work ever done has been done by the last two generations of scientists (over the last 50 years or so). Hence, the preponderance of weight should lie on the last 50 years. On the other hand, almost all examples presented in the literature to support the premise of the PMI (case studies about the ether, phlogiston, caloric fluid, etc.) concern very early parts of the history of science, namely the 17th, 18th and 19th century. These examples cannot support a correctly weighted premise.
When we examine the last 50 years we observe that the premise of the PMI is wrong; most scientific disciplines experienced very few revolutionary theory-changes in that time. Thus, we observe great stability of scientific theories in the last 50 years which is what we should project into the future.


"Quantum Theory and Causality - Recent Experiments", Brigitte Falkenburg (Dortmund)

Recent "which way"-experiments of quantum optics will be discussed. The most interesting of them employ quantum erasers and delayed choice of the decision about the information which is read out. Which light do different concepts of causality shed on these experiments, and vice versa?


"Counterfactuals and Entropy", Matthias Frisch (Baltimore)

David Albert and Barry Loewer have argued that there is a certain class of probabilistic counterfactuals, central to causal reasoning, that exhibit a temporal asymmetry and that this asymmetry can be accounted for by appealing to entropy considerations. The aim of this talk is to critically examine Albert's and Loewer's proposal.


"On the statistical viewpoint on 'entropy increase' - A Reminder on the Ehrenfests' Urn Model", Domenico Giulini (Freiburg)

In statistical thermodynamics the 2nd law is properly expressed in terms of conditional probabilities. As such it states the likely increase of entropy without (sic) inducing a time orientation. This statement itself is not new. It was emphasized by Paul and Tatiana Ehrenfest and later by C.-F. v. Weizsäcker. In my talk I give a quantitative description of this idea in terms of the Ehrenfests' "urn model", that makes essential use of Bayes' rule. This may or may not be new and/or interesting.


"Shedding New Light on Zadeh's Criticism of Dempster's Rule of Combination ", Rolf Haenni (Bern)

Shortly after proposing Dempster's rule of combination as a general aggregation rule for evidence from independent sources, Zadeh formulated an annoying example for which Dempster's rule seemed to produce counter-intuitive results. Since then, many authors have used Zadeh's example either to criticize Demster-Shafer theory as a whole, or as a motivation for constructing alternative combination rules. This paper shows that the counter-intuition of Zadeh's example is not a problem of Dempster's rule, but a problem of Zadeh's model that does not correspond to reality. Two different ways to fix the problem will be discussed, showing that Dempster's rule of combination perfectly behaves as one would expect.


"Prediction asymmetries of generalizations and instantiations", Berna Kilinc (Istanbul, Konstanz)

TBA


"TBA", Christian List (London)

TBA


"Utilitarianism and prioritarianism", David McCarthy (Edinburgh, Konstanz)

Broome has argued that a reformulation of Harsanyi's famous representation theorem should be given a utilitarian interpretation and that the theorem shows that prioritarianism is more or less meaningless. I prefer a different reformulation of the theorem and different argument for a utilitarian interpretation. But the same kind of argument when applied to a different representation theorem leads to the conclusion that at least one form of prioritarianism is both meaningful and reasonably plausible. Rabinowicz has responded to Broome by arguing that a different form of prioritarianism is meaningful, and that it gives good expression to Parfit's informal ideas about the priority view. However, I will argue that that form of prioritarianism is very implausible. The talk will include a general discussion of the way uncertainty is involved in the way we ought to understand utilitarianism and prioritarianism.


"Unmasking the doctrinal paradox: Group decision-making without fear", Gabriella Pigozzi (Konstanz)

TBA


"What's so special about general relativity?", Oliver Pooley (Oxford)

In formulating the general theory of relativity, one of Einstein's goals was to generalize the restricted relativity principle of special relativity to a principle that upheld the physical equivalence of reference frames in arbitrary states of relative motion. General covariance was supposed to be one way of satisfying this requirement. However, most now believe that, with appropriate mathematical reformulation, any theory can be made to satisfy the principle of general covariance. Many, instead, view the absence of non-dynamical fields, rather than its general covariance, as definitive of what's special about general relativity.
This orthodoxy is now being questioned by a small minority, including Earman, Rovelli, and Stachel. The following are sometimes held to be the features of general relativity that really distinguish it from pre-general relativistic theories:
  • 1. the group of diffeomorphism of the spacetime manifold is a gauge group.
  • 2. The genuine physical magnitudes of the theory are diffeomorphism-invariant.
  • 3. Its fundamental entities have no individuality that is independent of the relational structures in which they are embedded.
These features are typically seen as following from (or amounting to) general relativity's satisfying a substantive principle of general covariance.
In this talk I side with the orthodox view. Generally covariant formulations on non-generally relativistic theories satisfies these features just as much as general relativity does. What's special about general relativity is the absence of background fields. Further clarity is gained by distinguishing notions that are often conflated, namely, those of non-dynamical fields, of absolute objects, and of background fields.


"Statistical Inference, the Problem of Induction, and the Realism Debate", Jan Willem Romeyn (Groningen)

Statistics plays an important role in how science solves the problem of induction. In my talk I first make precise what role it plays, and then investigate the extent to which, in this role, it can support the realist ambitions of science.
The first task involves a critical analysis of the logical empiricist views of Carnap, and a reformulation of inductive inferences as Bayesian logical arguments. The second involves a reversed application of De Finetti's representation theorem, and a rather delicate mix of his strict subjectivism with the frequentist theory. However, these reform measures do not yet go far enough. In the last part of the talk will argue that scientists have good reasons for employing underdetermined statistical models, and sketch a theory of Bayesian abduction.


"The Frequency Theory of Probability: A Defense", Gerhard Schurz (Düsseldorf)

(1) A random experiment ist a kind of causal process under partly fixed initial and boundary conditions which produces some outcome of a space of possible outcomes. (2) In a deterministic random experiment the outcome is always the same. I argue that an ordinary empirical disposition property such as "being soluble" is a property of a (deterministic) random experiment, saying that every realization of it would lead to a certain result. Empirical disposition predicates involve counterfactual idealizations such as "even if the experiment has de facto only be performed in our universe n times, if it would have been performed more than n times, then the outcome would still be the same". In general, it can be doubted whether 'empirical' disposition predicates can really be called "empirical" , because they involve counterfactual idealizations. But they are not theoretical predicates, because their meaning is not determined by a specific theory. (3) In a probabilistic random experiment the outcomes can be different. But their limiting frequencies converge against a frequency limit which is called their statistical probability. This is an even stronger idealization, because it means: "even if the experiment has been performed de facto only n times, if it would have been performed infinitely many times, then the relative frequency of the outcome would converge against a certain real number r". I argue that there is no philosophical difference between empirical disposition predicates such as "being soluble" and statistical probabilities such as "the probability of a coin landing head equals 1/2". The concept of a statistical probability is a highly idealized but still empirical disposition property. It is not a theoretical property in the narrow sense. (4) However, there is a big difference in technical complication: we must fix the sequences in which the frequency limits are determined. This problem, I argue, is solved in von Mises' theory of admissible place selections. The ground sequence belonging to a probabilistic random experiment is the sequence of all performances of this random event, ordered in time, in an idealized infinite continuation of our universe. This is not a stronger counterfactiual setting than what we already assume in empirical disposition predicates. Real sequences such as "my coin tossing" or "your coin tossing" are always obtained by certain place selections from that ground sequence. In so-called random sequences these place selections do not depend on the outcomes. These leads to the von Mises - Church notion of an admissible place selection as a computable function f: N -> {yes, no} which may depend on previous outcomes e(m) for m


"Simulating Democracy - Modeling as Theorizing vs Modeling as Problem Solving", Peter Towbin (Santa Cruz)

TBA


"Voting power: towards a revision of the paradigm", Federico Valenciano (Universidad del Pais Vasco)

TBA


"Costs and gains of a Hamiltonian formulation of general relativity", Christian Wüthrich (Pittsburgh)

In order to enable a canonical quantisation of general relativity, the latter needs to be cast as a Hamiltonian system. But can a theory which is generally covariant be forced into the Hamiltonian formalism? If so, how is general covariance encoded in such an approach? In my talk, I will try to offer answers to these questions and to then assess more generally the costs and gains of casting general relativity as a Hamiltonian system with constraints.

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