The deceptive strangeness of prescience in Dune is typical of Herbert's ideas. The ancient Babylonians were able to systematically predict astronomical events, but contemporary astrophysicists can forecast distant events beyond the Babylonians’ wildest dreams. Herbert describes the prescience of characters like Paul as a hyperawareness of possibilities and probabilities given certain choices, rather than being able to examine a fixed future. Common sense suggests that prescience should help us live together better. The Prisoner's Dilemma can be interpreted in different ways, (...) but the basic logic is always the same. The Prisoner's Dilemma is an imaginary interaction between “prisoners,” but it actually might make more sense with prescient characters from the Duniverse. Stuart Hampshire argued that self‐knowledge tends to have the opposite effect – that it makes us freer. Prescience is a vastly expanded understanding of possible and probable consequences given information and choices, not the observation of a fixed future. (shrink)

How should we make decisions when we do not know the relevant physical probabilities? In these ambiguous situations, we cannot use our knowledge to determine expected utilities or payoffs. The traditional Bayesian answer is that we should create a probability distribution using some mix of subjective intuition and objective constraints. Imprecise Bayesians argue that this approach is inadequate for modelling ambiguity. Instead, they represent doxastic states using credal sets. Generally, insofar as we are more uncertain about the physical probability of (...) an event, there is more divergence in the credal set. Hence, their approach can represent these ambiguities via the extent of the divergence. Imprecise Bayesianism has mostly been advocated for its epistemological features. In this article, we examine its properties for decision-making. We develop a model for comparing standard and Imprecise Bayesianism by testing their performances in a classic decision problem. We find that the representational tools of Imprecise Bayesianism also cause it to underperform in our tests. This issue has been overlooked, because previous research on Imprecise Bayesianism has not utilised agent-based modelling to provide information about its performance in the short-run. Overall, we reveal the Ambiguity Dilemma for Imprecise Bayesianism: To what extent should one value representational power or decision-making performance? (shrink)

John D. Norton’s “Material Theory of Induction” has been one of the most intriguing recent additions to the philosophy of induction. Norton’s account appears to be a notably natural account of actual inductive practices, although his theory has attracted considerable criticism. I detail several novel issues for his theory but argue that supplementing the Material Theory with a theory of direct inference could address these problems. I argue that if this combination is possible, a stronger theory of inductive reasoning emerges, (...) which has a more propitious answer to the Problem of Induction. (shrink)

In his recent book, John Norton has created a theory of inference to the best explanation, within the context of his "material theory of induction". I apply it to the problem of scientific explanations that are false: if we want the theories in our explanations to be true, then why do historians and scientists often say that false theories explained phenomena? I also defend Norton's theory against some possible objections.

Evidentialists say that a necessary condition of sound epistemic reasoning is that our beliefs reflect only our evidence. This thesis arguably conflicts with standard Bayesianism, due to the importance of prior probabilities in the latter. Some evidentialists have responded by modelling belief-states using imprecise probabilities (Joyce 2005). However, Roger White (2010) and Aron Vallinder (2018) argue that this Imprecise Bayesianism is incompatible with evidentialism due to “inertia”, where Imprecise Bayesian agents become stuck in a state of ambivalence towards hypotheses. Additionally, (...) escapes from inertia apparently only create further conflicts with evidentialism. This dilemma gives a reason for evidentialist imprecise probabilists to look for alternatives without inertia. I shall argue that Henry E. Kyburg’s approach offers an evidentialist-friendly imprecise probability theory without inertia, and that its relevant anti-inertia features are independently justified. I also connect the traditional epistemological debates concerning the “ethics of belief” more systematically with formal epistemology than has been hitherto done. (shrink)

John Maynard Keynes’s A Treatise on Probability is the seminal text for the logical interpretation of probability. According to his analysis, probabilities are evidential relations between a hypothesis and some evidence, just like the relations of deductive logic. While some philosophers had suggested similar ideas prior to Keynes, it was not until his Treatise that the logical interpretation of probability was advocated in a clear, systematic and rigorous way. I trace Keynes’s influence in the philosophy of probability through a heterogeneous (...) sample of thinkers who adopted his interpretation. This sample consists of Frederick C. Benenson, Roy Harrod, Donald C. Williams, Henry E. Kyburg and David Stove. The ideas of Keynes prove to be adaptable to their diverse theories of probability. My discussion indicates both the robustness of Keynes’s probability theory and the importance of its influence on the philosophers whom I describe. I also discuss the Problem of the Priors. I argue that none of those I discuss have obviously improved on Keynes’s theory with respect to this issue. (shrink)

The debates between Bayesian, frequentist, and other methodologies of statistics have tended to focus on conceptual justifications, sociological arguments, or mathematical proofs of their long run properties. Both Bayesian statistics and frequentist (“classical”) statistics have strong cases on these grounds. In this article, we instead approach the debates in the “Statistics Wars” from a largely unexplored angle: simulations of different methodologies’ performance in the short to medium run. We conducted a large number of simulations using a straightforward decision problem based (...) around tossing a coin with unknown bias and then placing bets. In this simulation, we programmed four players, inspired by Bayesian statistics, frequentist statistics, Jon Williamson’s version of Objective Bayesianism, and a player who simply extrapolates from observed frequencies to general frequencies. The last player functions as a benchmark: a statistical methodology should at least outperform a crude form of induction. We focused on the performance of these methodologies in guiding the players towards good decisions. Unlike an earlier simulation study of this type, we found no systematic difference in performance between the Bayesian and frequentist players, provided the Bayesian used a flat prior and the frequentist used a low confidence level. Unlike that study, we were able to use Big Data methods to mitigate problems of random error in the simulation results. The Williamsonian player, who is a novel element of our study, also had no systematic differences in their performance, provided that they use a low confidence level. These players performed similarly even in the very short run, when players were making different decisions. Our study indicates that all three methodologies should be taken seriously by philosophers and practitioners of statistics. However, the frequentist and Williamsonian performed poorly when their confidence levels were high, and the Bayesian was surprisingly harmed by biased priors, providing some unexpected lessons for these methodologies when facing this type of decision problem. (shrink)

Many philosophers argue that Keynes’s concept of the “weight of arguments” is an important aspect of argument appraisal. The weight of an argument is the quantity of relevant evidence cited in the premises. However, this dimension of argumentation does not have a received method for formalisation. Kyburg has suggested a measure of weight that uses the degree of imprecision in his system of “Evidential Probability” to quantify weight. I develop and defend this approach to measuring weight. I illustrate the usefulness (...) of this measure by employing it to develop an answer to Popper’s Paradox of Ideal Evidence. (shrink)

Calibration inductive logics are based on accepting estimates of relative frequencies, which are used to generate imprecise probabilities. In turn, these imprecise probabilities are intended to guide beliefs and decisions — a process called “calibration”. Two prominent examples are Henry E. Kyburg's system of Evidential Probability and Jon Williamson's version of Objective Bayesianism. There are many unexplored questions about these logics. How well do they perform in the short-run? Under what circumstances do they do better or worse? What is their (...) performance relative to traditional Bayesianism? -/- In this article, we develop an agent-based model of a classic binomial decision problem, including players based on variations of Evidential Probability and Objective Bayesianism. We compare the performances of these players, including against a benchmark player who uses standard Bayesian inductive logic. We find that the calibrated players can match the performance of the Bayesian player, but only with particular acceptance thresholds and decision rules. Among other points, our discussion raises some challenges for characterising “cautious” reasoning using imprecise probabilities. Thus, we demonstrate a new way of systematically comparing imprecise probability systems, and we conclude that calibration inductive logics are surprisingly promising for making decisions. (shrink)

David Armstrong argues that necessitation relations among universals are the best explanation of some of our observations. If we consequently accept them into our ontologies, then we can justify induction, because these necessitation relations also have implications for the unobserved. By embracing Armstrongian universals, we can vindicate some of our strongest epistemological intuitions and answer the Problem of Induction. However, Armstrong’s reasoning has recently been challenged on a variety of grounds. Critics argue against both Armstrong’s usage of inference to the (...) best explanation and even whether, by Armstrong’s own standards, necessitation relations offer a potential explanation of this explanandum, let alone the best explanation. I defend Armstrong against these particular criticisms. Firstly, even though there are reasons to think that Armstrong’s justification fails as a self-contained defence of induction, it can usefully complement several other answers to Hume. Secondly, I argue that Armstrong’s reasoning is consistent with his own standards for explanation. (shrink)

The origins of testing scientific models with statistical techniques go back to 18th century mathematics. However, the modern theory of statistical testing was primarily developed through the work of Sir R.A. Fisher, Jerzy Neyman, and Egon Pearson in the inter-war period. Some of Fisher's papers on testing were published in economics journals (Fisher, 1923, 1935) and exerted a notable influence on the discipline. The development of econometrics and the rise of quantitative economic models in the mid-20th century made statistical significance (...) testing a commonplace, albeit controversial tool within economics. -/- In the debate about significance testing, methodological controversies intertwine with epistemological issues and sociological developments. Our aim in this chapter is to expound these connections and to show how the use of, and the debate about, significance testing in economics differs from other social sciences, such as psychology. (shrink)

According to John D. Norton's Material Theory of Induction, all inductive inferences are justified by local facts, rather than their formal features or some grand principles of nature's uniformity. Recently, Richard Dawid (Found Phys 45(9):1101–1109, 2015) has offered a challenge to this theory: in an adaptation of Norton's own celebrated "Dome" thought experiment, it seems that there are certain inductions that are intuitively reasonable, but which do not have any local facts that could serve to justify them in accordance with (...) Norton's requirements. Dawid's suggestion is that “raw induction” might have a limited but important role for such inferences. I argue that the Material Theory can accommodate such inductions, because there are local facts concerning the combinatoric features of the induction’s target populations that can licence the inferences in an analogous way to existing examples of material induction. Since my arguments are largely independent of the details of the Dome, Norton's theory emerges as surprisingly robust against criticisms of excessive narrowness. (shrink)

As part of a book symposium on Erwin Dekker's Jan Tinbergen (1903–1994) and the Rise of Economic Expertise (2021), William Peden reflects on shared views on the objectivity and nature of statistics between Tinbergen and Keynes underlying the Tinbergen-Keynes debates.

According to John D. Norton's Material Theory of Induction, all reasonable inductive inferences are justified in virtue of background knowledge about local uniformities in nature. These local uniformities indicate that our samples are likely to be representative of our target population in our inductions. However, a variety of critics have noted that there are many circumstances in which induction seems to be reasonable, yet such background knowledge is apparently absent. I call such absences ‘the frontiers of science', where background scientific (...) theories do not provide information about such local uniformities. I argue that the Material Theory of Induction can be reconciled with our intuitions in favour of these inductions. I adapt an attempted justification of induction in general, the Combinatoric Justification of Induction, into a more modest rationalisation at the less foundational level that the critics discuss. Subject to a number of conditions, we can extrapolate from large samples using our knowledge of facts about the minimum proportions of representative subsets of finite sets. I also discuss some of Norton's own criticisms of his theory and argue that he is overly pessimistic. I conclude that Norton's theory at least performs well at the frontiers of science. (shrink)

In this review essay of Jan Sprenger and Stephan Hartman's new book Bayesian Philosophy of Science (2019), I discuss the objectivity of Bayesianism, its implications for the scientific realism debates, and the extent to which they have succeeded in formalising Karl Popper's concept of corroboration.

In the Paradox of the Ravens, a set of otherwise intuitive claims about evidence seems to be inconsistent. Most attempts at answering the paradox involve rejecting a member of the set, which seems to require a conflict either with commonsense intuitions or with some of our best confirmation theories. In contrast, I argue that the appearance of an inconsistency is misleading: ‘confirms’ and cognate terms feature a significant ambiguity when applied to universal generalisations. In particular, the claim that some evidence (...) confirms a universal generalisation ordinarily suggests, in part, that the evidence confirms the reliability of predicting that something which satisfies the antecedent will also satisfy the consequent. I distinguish between the familiar relation of confirmation simpliciter and what I shall call ‘predictive confirmation’. I use them to formulate my answer, illustrate it in a very simple probabilistic model, and defend it against objections. I conclude that, once our evidential concepts are sufficiently clarified, there is no sense in which the initial claims are both plausible and inconsistent. (shrink)

Philosophers such as Goodman, Scheffler and Glymour aim to answer the Paradox of the Ravens by distinguishing between confirmation simpliciter and selective confirmation. In the latter concept, the evidence both supports a hypothesis and undermines one of its "rivals". In this article, I argue that while selective confirmation does seem to be an important scientific notion, no attempt to formalise it thus far has managed to solve the Paradox of the Ravens.

Personalized medicine relies on two points: 1) causal knowledge about the possible effects of X in a given statistical population; 2) assignment of the given individual to a suitable reference class. Regarding point 1, standard approaches to causal inference are generally considered to be characterized by a trade-off between how confidently one can establish causality in any given study (internal validity) and extrapolating such knowledge to specific target groups (external validity). Regarding point 2, it is uncertain which reference class leads (...) to the most reliable inferences. -/- Instead, pharmacovigilance focuses on both elements of the individual prediction at the same time, that is, the establishment of the possible causal link between a given drug and an observed adverse event, and the identification of possible subgroups, where such links may arise. We develop an epistemic framework that exploits the joint contribution of different dimensions of evidence and allows one to deal with the reference class problem not only by relying on statistical data about covariances, but also by drawing on causal knowledge. That is, the probability that a given individual will face a given side effect, will probabilistically depend on his characteristics and the plausible causal models in which such features become relevant. The evaluation of the causal models is grounded on the available evidence and theory. (shrink)

Even prior to its publication, John Norton’s book has stimulated debates about induction. Its publication will galvanize these discussions. Does it merit all this attention? Yes, and not just from philosophers of science. Practically all philosophers will find novel and thought-provoking ideas, with implications for their research.

Over the past 50 years, Peter Achinstein has earned a reputation in the philosophy of science for careful, thought-provoking, and methodologically significant conceptual analyses. This new book matches that reputation: he begins with a detailed analysis a particular notion, speculation, and the clarified concept serves as the glue to hold together the book's wide-ranging discussions. Achinstein also investigates issues of interest for practicing scientists and the ideas of practicing scientists appear frequently in the book. Indeed, two of the most influential (...) philosophers who discussed speculation were also scientists: John Stuart Mill (who was an economist and psychologist as well as a philosopher) and Isaac Newton. Within a crowded literature on the topic, Achinstein offers a book that is novel, rigorous, and helpful for both philosophers and scientists. (shrink)

In late-nineteenth-century economics, there was an epoch-defining shift from the labour theory of value to the marginal utility theory of value. According to the latter, the economic value of some circumstance (obtaining some good, some service, and so on) is its subjective utility at the margin. Thus, while there is an absolute sense in which I prefer having water to having diamonds, at the present moment I value one more unit of diamonds more than I value one more unit of (...) water. That is why I am willing to pay a higher price for a bowl of diamonds than a bowl of water of the same size, even though water is ‘more valuable’ in a sense. While the marginalists resolved a large array of anomalies that had troubled the labour theory of value, they also believed that utility should be measurable if their theory was to be scientifically respectable. Taking this shift as his starting point, Ivan Moscati has provided a well-written, thorough, and insightful account of the history of utility measurement from 1870 to 1985. (shrink)

Nicholas Maxwell is not afraid of big ideas. As the title suggests, this book covers several sweeping topics: aside from those in the title, Maxwell discusses the methodology of social science, interdisciplinarity, quantum mechanics, and more besides. Given the 325-page word-length, this scope inevitably means that the ideas and arguments are frequently underdeveloped. However, despite this proportion of pages to topics, Maxwell's book is clear, accessible, and (most importantly) thought-provoking.

A non-expert who struggles to make good decisions and who turns to decision theory for help, might be more than a little surprised by what they find. If they read a standard treatment of the subject, they will find that they are assumed to be logically omniscient: they know all the logical facts about the propositions whose truth they have considered. Their beliefs are also assumed to be logically closed: if they believe each of a set of propositions S, then (...) they believe everything that can be deduced from S. Finally, they are assumed to be maximally opinionated—they have assigned precise probabilities and cardinal utilities to each possible state of the world that can be formulated via S. The normative core of standard decision theory consists of some very weak axioms for these probabilities and car-dinal utilities, plus the advice to maximize their expected utility, which is a function of the probabil-ities and cardinal utilities for each possible state of the world given each possible choice that they can make. The non-expert might understandably react by saying that this theory is too idealized to be useful for human beings. It is this criticism that Richard Bradley addresses with patience, rigour, and ardour in this book. (shrink)

Contemporary debates about scientific institutions and practice feature many proposed reforms. Most of these require increased efforts from scientists. But how do scientists’ incentives for effort interact? How can scientific institutions encourage scientists to invest effort in research? We explore these questions using a game-theoretic model of publication markets. We employ a base game between authors and reviewers, before assessing some of its tendencies by means of analysis and simulations. We compare how the effort expenditures of these groups interact in (...) our model under a variety of settings, such as double-blind and open review systems. We make a number of findings, including that open review can increase the effort of authors in a range of circumstances and that these effects can manifest in a policy-relevant period of time. However, we find that open review’s impact on authors’ efforts is sensitive to the strength of several other influences. (shrink)

Can scientific evidence outstretch what scientists have mentally entertained, or could ever entertain? This article focuses on the plausibility and consequences of an affirmative answer in a special case. Specifically, it discusses how we may treat automated scientific data-gathering systems—especially AI systems used to make predictions or to generate novel theories—from the point of view of confirmation theory. It uses AlphaFold2 as a case study.

In considering the rise of American Humanism, we will explore these developments, as expressed in the Free Religious Association and the early Chicago School of Philosophy. Brief consideration will be given to the developments in the Unitarian Church in America which led to the formation of the FRA in 1867. The focus on the FRA will center on four key founders, Ralph Waldo Emerson, Octavius Brooks Frothingham, Francis Ellingwood Abbot and William James Potter. Following the World’s Congress of Religions (...) and the adoption of Abbot’s “free religion” in a revised constitution for Unitarianism in 1895, the emphasis shifts to the early philosophy department at the University of Chicago and the rise of Humanism. Contributions and influences on the development of Humanism by George Burman Foster, Edward Scribner Ames, and Albert Eustace Haydon will be explored. (shrink)

This is the first edition to provide the complete text of both the fifth-century Calculus of Victorius of Aquitaine and Abbo of Fleury's Commentary on it. These two works shed light on the early history of mathematics, before the introduction of Arabic numerals. The wide range of Abbo's thought is reflected in the Commentary, covering the nature of wisdom, the philosophy of number, the relationship of unity and plurality, and the arithmetic of the Calculus - all of it set in (...) the broader context of his theology of Creation. This edition is crucial for our current reappraisal of Abbo of Fleury as a major figure of the tenth century, who had a profound impact on later medieval English thought. (shrink)

In The Emergent Self, William Hasker joins one of the most heated debates in contemporary analytic philosophy, that over the nature of mind.

Toward theory a homuncular of believing For years and years, philosophers took thoughts and beliefs to be modifications of incorporeal Cartesian egos. ...

Descartes has often been called the 'father of modern philosophy'. His attempts to find foundations for knowledge, and to reconcile the existence of the soul with the emerging science of his time, are among the most influential and widely studied in the history of philosophy. This is a classic and challenging introduction to Descartes by one of the most distinguished modern philosophers. Bernard Williams not only analyzes Descartes' project of founding knowledge on certainty, but uncovers the philosophical motives for his (...) search. With acute insight, he demonstrates how Descartes' _Meditations _are not merely a description but the very enactment of philosophical thought and discovery. Williams covers all of the key areas of Descartes' thought, including God, the will, the possibility of knowledge, and the mind and its place in nature. He also makes profound contributions to the theory of knowledge, metaphysics and philosophy generally. With a new foreword by John Cottingham. (shrink)

"The lectures that follow were delivered at the Lowell Institute in Boston in November and December, 1906, and in January, 1907, at Columbia University, in New York."-Preface, pg. 3.

One of the most influential men of his time, philosopher, psychologist, educator, and author William James (1842-1910) helped lead the transition from a predominantly European-centered nineteenth-century philosophy to a new "pragmatic" American philosophy. Helping to pave the way was his seminal book Pragmatism (1907), in which he included a chapter on "Truth," an essay which provoked severe criticism. In response, he wrote the present work, an attempt to bring together all he had ever written on the theory of knowledge, (...) including an article on the function of cognition, later polemic and expository contributions, and some replies to previous criticism. The result was a full and definitive expression of the pragmatist "epistemology" from James' point of view. In the book, he urges the reader to "turn away from abstractions, verbal solutions, fixed principles, and pretended absolutes and look for concreteness and facts, action and power," arguing that "the ultimate test for us of what a truth means is the conduct it dictates or inspires." For students, scholars--anyone interested in William James or the history of American philosophical thought--this book offers an in-depth exposition of the influential ideas of one of the greatest American thinkers. Unabridged republication of the edition originally published by Longmans, Green and Co., New York and London, 1909. (shrink)

First systematic presentation and assessment of the groundbreaking journal Cahiers pour l’Analyse. Concept and Form is a two-volume monument to the work of the philosophy journal the Cahiers pour l’Analyse (1966–69), the most ambitious and radical collective project to emerge from French structuralism. Inspired by their teachers Louis Althusser and Jacques Lacan, the editors of the Cahiers sought to sever philosophy from the interpretation of given meanings or experiences, focusing instead on the mechanisms that structure specific configurations of discourse, from (...) the psychological and ideological to the literary, scientific, and political. Adequate analysis of the operations at work in these configurations, they argue, helps prepare the way for their revolutionary transformation. The first volume comprises English translations of some of the most important theoretical texts published in the journal, written by thinkers who would soon be counted among the most inventive and influential of their generation. The second volume collects newly commissioned essays on the journal, together with recent interviews with people who were either members of its editorial board or associated with its broader theoretical project. Contributors include Alain Badiou, Étienne Balibar, Edward Baring, Jacques Bouveresse, Yves Duroux, Alain Grosrichard, Peter Hallward, Adrian Johnston, Serge Leclaire, Patrice Maniglier, Tracy McNulty, Jacques-Alain Miller, Jean-Claude Milner, Knox Peden, Jacques Rancière, François Regnault, and Slavoj Žižek. (shrink)

These documents, published here for the first time, present the Treasury's counter-arguments during the period when Keynes was developing the ideas that led to the Keynesian revolution in economic policy. Keynes spent much effort trying to persuade the Treasury to adopt policies designed to raise employment and stabilise prices, and to create an international monetary system that would favour these objectives. His arguments are set out fully in the Royal Economic Society's 30-volume set of The Collected Writings of John Maynard (...) Keynes. In contrast, the views of his Treasury critics have hitherto been much less accessible.Economists and historians have tended to assume that Keynes was right and the Treasury was wrong; this volume shows that the Treasury anticipated the political problems that would be encountered in putting Keynes's ideas into practice. Much of what Keynes published was deliberately polemical: he believed that words should be 'a little wild', for they were 'the assault of thought on the unthinking'. Treasury officials were by no means as unthinking as Keynes tended to portray them, and they had a coherent and intellectually respectable understanding of public finance. Ministers in the inter-war period and early in the Second World War were sensitive to the use that political opponents might make of Keynes's arguments; officials had to provide counter-arguments, and in doing so they revealed much about their views on economics and public finance. Once Keynes became an adviser to the Chancellor of the Exchequer in 1940, the debate became internal to the Treasury, but officials continued to subject Keynes's ideas to critical analysis.The documents in this volume show Treasury responses to Keynes on a range of issues crucial to understanding the period and the context of the Keynesian revolution in public policy. The topics covered include: the return to the gold standard; the use of public expenditure to cure unemployment in the inter-war period; how to avoid inflation in the war; planning for the post-war international economy; and the 1944 white paper on employment policy. This edition is an essential tool for the study of a formative period of British history and a great intellectual debate. (shrink)