Luc Bovens

We construct novel measures to assess (i) the extent to which European Union member states are using common standards in recognizing asylum seekers and (ii) the extent to which the responsibilities for asylum applications, acceptances and refugee populations are equally shared among the member states, taking into account population size, gross domestic product (GDP) and GDP expressed in purchasing power parity (GDP-PPP). We track the progression of these measures since the implementation of the Treaty of Amsterdam (1999). These measures display divergent trends and we try to provide an interpretation of the dynamics that are constitutive of these trends.

The Puzzle of the Hats is a betting arrangement which seems to show that a Dutch book can be made against a group of rational players with common priors who act in the common interest and have full trust in the other players’ rationality. But we show that appearances are misleading—no such Dutch book can be made. There are four morals. First, what can be learned from the puzzle is that there is a class of situations in which credences and betting rates diverge. Second, there is an analogy between ways of dealing with situations of this kind and different policies for sequential choice. Third, there is an analogy with strategic voting, showing that the common interest is not always served by expressing how things seem to you in social decision-making. And fourth, our analysis of the Puzzle of the Hats casts light on a recent controversy about the Dutch book argument for the Sleeping Beauty.

The Government uses various policy tools to reduce alcohol consumption. There are restrictions on promotions, information campaigns, and pricing policies. These policies do not stand unchallenged. Restrictions on promotions irk business, information campaigns fail to reach the less educated, and pricing policies hurt responsible but poor consumers. So what about Thaler and Sunstein’s Nudge? Nudges keep choices open but change the “choice architecture” so as to help those who would like to drink less, and they do so in ways that constructively engage business. Let us focus on one choice environment here, namely beer consumption in British pubs.

The extent to which EU countries take on their ‘fair share’ of asylum seekers is a contentious issue. Luc Bovens and Jane von Rabenau write on concern within Germany that the country is taking on a higher burden than other EU states. They argue that when compared on a per capita basis with similar EU countries, Germany performs relatively poorly in terms of acceptances for new refugees. Where Germany performs better is with respect to the size of the existing refugee population within the country, however this may be a reflection of the difficulty refugees experience in gaining German citizenship.

Utilitarianism, it has been said, is not sensitive to the distribution of welfare. In making risky decisions for others there are multiple sensitivities at work. I present examples of risky decision-making involving drug allocations, charitable giving, breast-cancer screening and C-sections. In each of these examples there is a different sensitivity at work that pulls away from the utilitarian prescription. Instances of saving fewer people at a greater risk to many is more complex because there are two distributional sensitivities at work that pull in opposite directions from the utilitarian calculus. I discuss objections to these sensitivities and conclude with some reflections on the value of formal modelling in thinking about societal risk.

Choice often proceeds in two stages: We construct a shortlist on the basis of limited and uncertain information about the options and then reduce this uncertainty by examining the shortlist in greater detail. The goal is to do well when making a final choice from the option set. I argue that we cannot realise this goal by constructing a ranking over the options at shortlisting stage which determines of each option whether it is more or less worthy of being included in a shortlist. This is relevant to the 2010 UK Equality Act. The Act requires that shortlists be constructed on grounds of candidate rankings and affirmative action is only permissible for equally qualified candidates. This is misguided: Shortlisting candidates with lower expected qualifications but higher variance may raise the chance of finding an exceptionally strong candidate. If it does, then shortlisting such candidates would make eminent business sense and there is nothing unfair about it. This observation opens up room for including more underrepresented candidates with protected characteristics, as they are more likely to display greater variance in the selector’s credence functions at shortlisting stage.

There are three slogans in the history of Socialism that are very close in wording, viz. the famous Cabet-Blanc-Marx slogan: "From each according to his ability; To each according to his needs"; the earlier Saint-Simon-Pecqueur slogan: "To each according to his ability; To each according to his works"; and the later slogan in Stalin’s Soviet Constitution: "From each according to his ability; To each according to his work." We will consider the following questions regarding these slogans: a) What are the earliest occurrences of each of these slogans? b) Where does the inspiration for each half of each slogan come from? c) What do the Saint-Simonians mean by “To each according to his ability”? d) What do they mean by “To each according to his works”? e) What motivates the shift from “To each according to his ability” to “From each according to his ability”? f) How should we envisage the progression toward “To each according to his needs”? g) What is the distinction between from “To each according to his works” and “To each according to his work”?

Many religions offer hope for a life that transcends death and believers find great comfort in this. Non-believers typically do not have such hopes. In the face of death, they may find consolation in feeling contented with the life they have lived. But do they have hopes? I will identify a range of distinctly secular hopes at the end of life. Nothing stops religious people from sharing these secular hopes, in addition to their hope for eternal life. I will distinguish between (a) hopes about one’s life, (b) hopes about one’s death, (c) hopes about attitudes of others, and (d) hopes about the future. But before turning to these hopes, I will reflect on the following question: What is it that would keep a person from hoping for eternal life?

It is important in its own right to determine what conception of mutual disinterest Rawls has in mind at the various junctions in the text. Furthermore, disambiguating this notion counters a common objection that there is no reason to accept principles of justice that are chosen by rational egoists. The persons in Rawls' OP are not rational egoists. Rather, in identifying with the token persons in society they make the actual interests of the token persons into their ends and they know that they are choosing principles of justice for a society in which moderate selfishness reigns. But this is very remote from stipulating a selfish disposition for the persons in the OP. Hence, the objection is contingent on a natural misreading of Rawls' notion of mutual disinterest and can be readily dispelled by disambiguating this notion into a motivational and an epistemic constraint on the OP.

The variety of evidence thesis in confirmation theory states that more varied supporting evidence confirms a hypothesis to a greater degree than less varied evidence. Under a very plausible interpretation of this thesis, positive test results from multiple independent instruments confirm a hypothesis to a greater degree than positive test results from a single instrument. We invoke Bayesian Networks to model confirmation on grounds of evidence that is obtained from less than fully reliable instruments and show that the variety of evidence thesis is not sacrosanct when testing is conducted with less than fully reliable instruments: under certain conditions, a hypothesis receives more confirmation from evidence that is obtained from one rather than from more independent instruments. In the appendix, we prove certain convergence results for large numbers of positive test results from single versus multiple less than fully reliable instruments.

Equal and proportional representation are two poles of a continuum of models of representation for the assembly of a federation of states. The choice of a model has repercussions on the welfare distribution in the federation. We determine, first by means of Monte Carlo simulations, what welfare distributions result after assemblies that were constituted on the basis of different models of representation have considered a large number of motions. We assess what model of representation is favored by a Rawlsian maximin measure and by the utilitarian measure and present matching analytical results for the utilitarian measure for a slightly idealized case. Our results show that degressive proportionality can be justified as a compromise between maximin and utilitarian considerations. There is little surprise in this result. What is more surprising, however, is that, within certain contexts of evaluation, degressive proportionality can also be justified on strictly utilitarian grounds

Wann ist Kohärenz ein Indiz für Wahrheit? Können Informationsmengen immer entsprechend ihrer Kohärenz geordnet werden? Welche Rolle spielt Kohärenz bei der Theoriewahl in der Wissenschaft? Unter welchen Umständen kann eine wissenschaftliche Theorie mit nur teilweise zuverlässigen Messinstrumenten bestätigt werden? Ist die Belegvielfaltsthese wahr? Warum sind übereinstimmende Aussagen unabhängiger Zeugen so gewichtig? Dies sind einige der Fragen, die in diesem Buch in einem wahrscheinlichkeitstheoretischen Kontext und auf der Grundlage konkreter Modelle behandelt werden. Darüber hinaus bietet das Buch eine elementare Einführung in die Theorie der Bayesianischen Netzwerke und zeigt Verbindungen auf zu Debatten in der Kognitionswissenschaft (Tversky und Kahnemans Linda Problem), Sozialwahltheorie (Condorcet Jury Theorem) und Informatik (Repräsentation von Glaubenssystemen). Das Buch richtet sich an alle, die sich für die Anwendung wahrscheinlichkeitstheoretischer Methoden in der Philosophie interessieren.

There is a long philosophical tradition of addressing questions in philosophy of science and epistemology by means of the tools of Bayesian probability theory (see Earman (1992) and Howson and Urbach (1993)). In the late '70s, an axiomatic approach to conditional independence was developed within a Bayesian framework. This approach in conjunction with developments in graph theory are the two pillars of the theory of Bayesian Networks, which is a theory of probabilistic reasoning in artificial intelligence. The theory has been very successful over the last two decades and has found a wide array of applications ranging from medical diagnosis to safety systems for hazardous industries.

Bonjour (1985: 101 and 1999: 124) and other coherence theorists of justification before him (e.g. Ewing, 1934: 246) have complained that we do not have a satisfactory analysis of the notion of coherence. The problem with existing accounts of coherence is that they try to bring precision to our intuitive notion of coherence independently of the particular role that it is meant to play within the coherence theory of justification (e.g Lewis, 1946: 338). This is a mistake: it does not make any sense to ask what precisely makes for a more coherent information set independently of the particular role that coherence is supposed to play within the context in question. What is this context and what is this role? The coherence theory of justification rides on a particular common sense intuition: when we gather information from less than fully reliable sources, then the more coherent the story that materializes is, the more confident we may be, ceteris paribus. Within the context of information gathering from certain types of sources, coherence is a property of stories which plays a confidence boosting role. But what features should the information sources have, so that the coherence of the information set is indeed a determinant of our degree of confidence in question? And what goes into the ceteris paribus clause? In other words, what other factors affect our confidence in the information set in question?

A federal assembly consists of a number of representatives for each of the nations (states, Länder, cantons,...) that make up the federation. How many representatives should each nation receive? What makes this issue worth quibbling about is that the model of representation that is instituted will have an impact on the welfare distribution over the nations in the federation that will ensue over due course. We will investigate what models of representation yield welfare distributions that score higher on a utilitarian measure. First, we construct a continuum of models of representation ranging from equal to proportional representation. In between these extremes are models of degressive proportionality. We run a Monte-Carlo simulation in which a large number of motions are voted up or down within different contexts of evaluation and investigate how well the resulting welfare distributions score on the utilitarian measure. Subsequently, we will provide matching analytical results for a slightly idealized case. We conclude with a discussion of the significance of our results and of the role of simulations and analytical results and point to further work.

There is a cognitive, an affective, a conative, and an attitudinal component to a genuine apology. In discussing these components, I address the following questions. Might apologies be due for non-culpable actions? Might apologies be due for choices in moral dilemmas? What is the link between sympathy, remorse and making amends? Is it meaningful for resilient akratics to apologize? How much moral renewal is required when one apologizes? Why should apologies be offered in a humble manner? And is there some truth to P. G. Wodehouse's dictum that 'the right sort of people do not want apologies'?

Bayesian Coherence Theory of Justification or, for short, Bayesian Coherentism, is characterized by two theses, viz. (i) that our degree of confidence in the content of a set of propositions is positively affected by the coherence of the set, and (ii) that coherence can be characterized in probabilistic terms. There has been a longstanding question of how to construct a measure of coherence. We will show that Bayesian Coherentism cannot rest on a single measure of coherence, but requires a vector whose components exhaustively characterize the coherence properties of the set. Our degree of confidence in the content of the information set is a function of the reliability of the sources and the components of the coherence vector. The components of this coherence vector are weakly but not strongly separable, which blocks the construction of a single coherence measure.

In addressing a complex issue that is decomposable into several sub-questions, a committee can use different voting procedures: Either it can let the committee members vote on each sub-question and then use the outcomes as premises for its conclusion on the main issue (premise based-procedure, pbp), or it can let the members directly vote on the conclusion (conclusion-based procedure, cbp). The procedures can lead to different results, but which of them is a better truth-tracker? On the basis of Condorcet's jury theorem, we show that the pbp is clearly superior if the objective is to reach truth for the right (= correct) reasons. However, if the goal instead is to reach truth for whatever reasons, right or wrong, there will be cases in which using the cbp turns out to be more reliable, even though, for the most part, the pbp will retain its superiority. In that connection, we also consider the truth-tracking potential of a “sophisticated” variant of the pbp, which is sensitive to the size of the majorities supporting each of the premises.

Hope obeys Aristotle's doctrine of the mean: one should neither hope too much, nor too little. But what determines what constitutes too much and what constitutes too little for a particular person at a particular time? The sceptic presents an argument to the effect that it is never rational to hope. An attempt to answer the sceptic leads us in different directions. Decision-theoretic and preference-theoretic arguments support the instrumental value of hope. An investigation into the nature of hope permits us to assess the intrinsic value of hope. However, it must be granted to the sceptic that there is a tension between hope and epistemic rationality. I conclude with some reflections about the relationship between hope and character features that are constitutive of inner strength.

Corroborating Testimony, Probability and Surprise’, Erik J. Olsson ascribes to L. Jonathan Cohen the claims that if two witnesses provide us with the same information, then the less probable the information is, the more confident we may be that the information is true (C), and the stronger the information is corroborated (C*). We question whether Cohen intends anything like claims (C) and (C*). Furthermore, he discusses the concurrence of witness reports within a context of independent witnesses, whereas the witnesses in Olsson's model are not independent in the standard sense. We argue that there is much more than, in Olsson's words, ‘a grain of truth’ to claim (C), both on his own characterization as well as on Cohen's characterization of the witnesses. We present an analysis for independent witnesses in the contexts of decision-making under risk and decision-making under uncertainty and generalize the model for n witnesses. As to claim (C*), Olsson's argument is contingent on the choice of a particular measure of corroboration and is not robust in the face of alternative measures. Finally, we delimit the set of cases to which Olsson's model is applicable. 1 Claim (C) examined for Olsson's characterization of the relationship between the witnesses 2 Claim (C) examined for two or more independent witnesses 3 Robustness and multiple measures of corroboration 4 Discussion.

John Locke proposed a straightforward relationship between qualitative and quantitative doxastic notions: belief corresponds to a sufficiently high degree of confidence. Richard Foley has further developed this Lockean thesis and applied it to an analysis of the preface and lottery paradoxes. Following Foley's lead, we exploit various versions of these paradoxes to chart a precise relationship between belief and probabilistic degrees of confidence. The resolutions of these paradoxes emphasize distinct but complementary features of coherent belief. These features suggest principles that tie together qualitative and quantitative doxastic notions. We show how these principles may be employed to construct a quantitative model - in terms of degrees of confidence - of an agent's qualitative doxastic state. This analysis fleshes out the Lockean thesis and provides the foundation for a logic of belief that is responsive to the logic of degrees of confidence.