A traditional view is that scientific evidence can be produced only by intersubjective methods that can be used by different investigators and will produce agreement. This intersubjectivity, or publicity, constraint ostensibly excludes introspection. But contemporary cognitive scientists regularly rely on their subjects' introspective reports in many areas, especially in the study of consciousness. So there is a tension between actual scientific practice and the publicity requirement. Which should give way? This paper argues against the publicity requirement and against a fallback version of it, viz. that evidence-conferring methods must at least have their reliability publicly validated.

Quantities are naturally viewed as functions, whose arguments may be construed as situations, events, objects, etc. We explore the question of the range of these functions: should it be construed as the real numbers (or some subset thereof)? This is Carnap's view. It has attractive features, specifically, what Carnap views as ontological economy. Or should the range of a quantity be a set of magnitudes? This may have been Helmholtz's view, and it, too, has attractive features. It reveals the close connection between measurement and natural law, it makes dimensional analysis intelligible, and explains the concern of scientists and engineers with units in equations. It leaves the philosophical problem of the relation between the structure of magnitudes and the structure of the reals. What explains it? And is it always the same? We will argue that on the whole, construing the values of quantities as magnitudes has some advantages, and that (as Helmholtz seems to suggest in “Numbering and Measuring from an Epistemological Viewpoint”) the relation between magnitudes and real numbers can be based on foundational similarities of structure.

Several leading topics outstanding after John Earman's Bayes or Bust? are investigated further, with emphasis on the relevance of Bayesian explication in epistemology of science, despite certain limitations. (1) Dutch Book arguments are reformulated so that their independence from utility and preference in epistemic contexts is evident. (2) The Bayesian analysis of the Quine-Duhem problem is pursued; the phenomenon of a “protective belt” of auxiliary statements around reasonably successful theories is explicated. (3) The Bayesian approach to understanding the superiority of variety of evidence is pursued; a recent challenge (by Wayne) is converted into a positive result on behalf of the Bayesian analysis, potentially with far-reaching consequences. (4) The condition for applying the merger-of-opinion results and the thesis of underdetermination of theories are compared, revealing significant limitations in applicability of the former. (5) Implications concerning “diachronic Dutch Book” arguments and “non-Bayesian shifts” are drawn, highlighting the incompleteness, but not incorrectness, of Bayesian analysis.

A framework for representing a specific kind of emergent property instance is given. A solution to a generalized version of the exclusion argument is then provided and it is shown that upwards and downwards causation is unproblematical for that kind of emergence. One real example of this kind of emergence is briefly described and the suggestion made that emergence may be more common than current opinions allow.

At first sight the Aharonov-Bohm effect appears nonlocal, though not in the way EPR/ Bell correlations are generally acknowledged to be nonlocal. This paper applies an analysis of nonlocality to the Aharonov-Bohm effect to show that its peculiarities may be blamed either on a failure of a principle of local action or on a failure of a principle of separability. Different interpretations of quantum mechanics disagree on how blame should be allocated. The parallel between the Aharonov-Bohm effect and violations of Bell inequalities turns out to be so close that a balanced assessment of the nature and significance of quantum nonlocality requires a detailed study of both effects.

A holistic account of the meaning of theoretical terms leads scientific realism into serious troubles. Alternative methods of reference fixing are needed by a realist who wishes to show how reference invariance is possible in spite of meaning variance. This paper argues that the similarity theory of truthlikeness and approximate truth, developed by logicians since the mid 1970s, helps to make precise the idea of charitable theoretical reference. Comparisons to the recent proposals by Kitcher and Psillos are given. This argument helps to undermine the scepticist meta-induction about theories, and thereby to reevaluate Laudan's alleged confutation of scientific realism.

Conditioning can make imprecise probabilities uniformly more imprecise. We call this effect “dilation”. In a previous paper (1993), Seidenfeld and Wasserman established some basic results about dilation. In this paper we further investigate dilation on several models. In particular, we consider conditions under which dilation persists under marginalization and we quantify the degree of dilation. We also show that dilation manifests itself asymptotically in certain robust Bayesian models and we characterize the rate at which dilation occurs.

I argue that the Bayesian Way of reconstructing Duhem's problem fails to advance a solution to the problem of which of a group of hypotheses ought to be rejected or “blamed” when experiment disagrees with prediction. But scientists do regularly tackle and often enough solve Duhemian problems. When they do, they employ a logic and methodology which may be called error statistics. I discuss the key properties of this approach which enable it to split off the task of testing auxiliary hypotheses from that of appraising a primary hypothesis. By discriminating patterns of error, this approach can at least block, if not also severely test, attempted explanations of an anomaly. I illustrate how this approach directs progress with Duhemian problems and explains how scientists actually grapple with them.

This paper places formal learning theory in a broader philosophical context and provides a glimpse of what the philosophy of induction looks like from a learning-theoretic point of view. Formal learning theory is compared with other standard approaches to the philosophy of induction. Thereafter, we present some results and examples indicating its unique character and philosophical interest, with special attention to its unified perspective on inductive uncertainty and uncomputability.

The distinction between cognitive and perceptual theories of emotion is entrenched in the literature on emotion and is openly used by individual emotion theorists when classifying their own theories and those of others. In this paper, I argue that the distinction between cognitive and perceptual theories of emotion is more pernicious than it is helpful, while at the same time insisting that there are nonetheless important perceptual and cognitive factors in emotion that need to be distinguished. A general representational metatheoretical framework for reconciling cognitive and perceptual theories is proposed. This is the Representational Theory of Emotion (RTE). A detailed case study of Antonio Damasio's important new contribution to emotion theory is presented in defense of the RTE. The paper is intended for readers interested in the foundations of emotion theory and cognitive science.

An example shows that ‘pairwise preferences’ (certain hypothetical choices) can cycle even when rational. General considerations entail that preferences tout court (certain relations of actual valuations) cannot cycle. A world-bayesian theory is explained that accommodates these two kinds of preference, and a theory for rational actions that would have them maximize and be objects of ratifiable choices. It is observed that choices can be unratifiable either because of troublesome credences or because of troublesome preferences. An appendix comments on a third way in which efforts to maximize can be frustrated.

Theories of intentionality need to account for non-cognitive states like emotions as well as cognitive states like beliefs. When certain non-cognitive states are included, one can formulate a feasible physicalist account of intentionality that highlights its evolutionary roots. I argue that recent experimental data support just such a move.

I am grateful for the opportunity to share with you some of my convictions, anxieties, and hopes. My central conviction is the immense value of a mental outlook which can be called by the suggestive and historically recognized name Enlightenment, whose exact characterization, however, requires careful discussion. It is an outlook widely shared, though with innumerable personal variations, by the members of the Philosophy of Science Association, by the broader community of scientists, science teachers, and philosophers, and by an ill-defined part of the general public. My anxieties are that the cultivation and the influence of this mental outlook in our nation and in the world are threatened in various ways, among them ideological attacks, slackening of educational standards, and demoralization of its adherents. My central hope is that Enlightenment will prevail despite these threats.

1. Probabilism. Statistics is probably the last discipline the ordinary person would associate with ideological wars, but one has been raging there for the last thirty years and more. Until recently the Classical, also known as Frequentist, theory of statistical inference dominated. But gradually a quite different approach has attracted adherents. This, named the Bayesian theory after the eighteenth-century English clergyman, Thomas Bayes, is a phoenix, reborn from the theory of inductive inference dominant from the mid-eighteenth to the late nineteenth century, which said that the measure of confidence proper to employ in an uncertain proposition is its probability (the idea goes back well beyond Bayes; in his great Ars Conjectandi, published posthumously in 1715, James Bernoulli stated that probability is degree of certainty (Part IV, Chapter II)).

This paper explores versions of agency or manipulability theories of causation and argues that they are unacceptable both for the well-known reasons of their anthropomorphism, limited scope, and circularity and because they are subsumed by an alternative “independence” theory of causation, which is free of these difficulties.

This paper discusses several distinct process theories of causality offered in recent years by Phil Dowe and me. It addresses problems concerning the explication of causal process, causal interaction, and causal transmission, whether given in terms of transmission of marks, transmission of invariant or conserved quantities, or mere possession of conserved quantities. Renouncing the mark-transmission and invariant quantity criteria, I accept a conserved quantity theory similar to Dowe's—differing basically with respect to causal transmission. This paper also responds to several fundamental constructive criticisms contained in Christopher Hitchcock's discussion of both the mark-transmission and the conserved quantity theories.

Millikan (1993) and Wilson (1994) argue, for different reasons, that the essential reference to the environment in adaptationist explanations of behavior makes (psychological) individualism inconsistent with evolutionary psychology. I show that their arguments are based on misinterpretations of the role of reference to the environment in such explanations. By exploring these misinterpretations, I develop an account of explanation in evolutionary psychology that is fully consistent with individualism. This does not, however, constitute a full-fledged defense of individualism, since evolutionary psychology is only one explanatory paradigm among many in psychology.

In this paper I demonstrate that, contrary to the standard interpretations, William Whewell's view of scientific method is neither that of the hypothetico-deductivist nor that of the retroductivist. Rather, he offers a unique inductive methodology, which he calls “discoverers' induction.” After explicating this methodology, I show that Kepler's discovery of his first law of planetary motion conforms to it, as Whewell claims it does. In explaining Whewell's famous phrase about “happy guesses” in science, I suggest that Whewell intended a distinction between “inductions,” which can be empirically verified, and “mere hypotheses”—or guesses—which cannot. Finally, I argue that Whewell's discoverers' induction is a view worthy of our attention today, because it avoids a number of problems faced by prominent alternative methodologies.