The term coherence is used in many connections. We often speak of coherent reasoning, coherent activities, coherent bodies, and coherent phenomena. In science this term is often used to indicate continuity of a structure in space and time. If many individuals can simultaneously observe similar sets of coherent phenomena, we infer with some justification, first, that the phenomena observed have some kind of correspondence with activities in an external world, that is, a world independent of the existence of the individual observers, and second, that the coherence itself is an attribute of the external world. In a recently published article, to which I shall make several references in this paper, I have called attention to the fact that the science of physics is based on the form and the changes in form of an immediately observed phenomenological world, called the physical world, which can be completely characterized as a structure in space and time. In his analysis of the foundations of the science of physics Eddington has clearly shown that theoretical physics deals exclusively with structures of the type described in the mathematical theory of groups, and that our knowledge of the physical world could have been reached by our sense of vision alone. Coherence in the physical world is that characteristic of the structure which describes the more or less permanent relationship between phenomena in different parts of space at approximately the same time, or a regular sequence in the changing phenomena at approximately the same region of space.

The old quarrel between the logical empiricists or pragmatists and the defenders of metaphysics is still far from being settled. This situation is at least partly due to the fact that neither of the two antagonists has a clear insight in the historical background, the systematical validity, and the practical purposes of the concepts and methods used in traditional philosophy. Therefore further clarification is needed.

The following paper does not claim to give final definitions and decisions. It will rather try to draw the attention to certain ways of reasoning still very widespread in metaphysics and moral theory. Their careful analysis may throw light on some of the so-called eternal philosophical problems.

Michael Ruse [3] has criticized the distinction between biological function and evolutionary adaptation that I argued for in my article “Biological Adaptation” [2]. I shall show below that Ruse's criticisms are not, for the most part, well taken and that the distinction remains as I made it.

Anyone, today, with even a slight interest in the methodology of science will be aware of the heated debate which has raged in regard to the thesis of the logical symmetry between explanation and prediction, which is entailed by the hypotheticodeductive account of scientific theory. The symmetry thesis, which received its classical exposition in a well-known article by Hempel and Oppenheim [2], has been subject to a steadily growing criticism by several eminent thinkers. My intention, in this article, is to argue that the current reaction to the Hempel-Oppenheim position, as exemplified by Professors Hanson, Scriven, et al., represents a retrograde movement in the philosophy of science, which, as the number of its converts grows, could undermine the progress, which has been accomplished in the broad tradition that extends from Mach and Poincaré through the Vienna Circle to the present day. Specifically, it is my contention that the aforementioned reaction is symptomatic of a contemporary trend in the direction of irrationalism which, of all branches of philosophy, the philosophy of science should seek to dispel rather than to foster. For the sake of brevity, I propose to focus my remarks wholly on the original widely read article of Hanson on this subject [1]. That I single out this particular source should not be taken to belie the admiration I hold for the masterful scholarship of its author.

In this paper I show how the conserved quantity theory, or more generally the process theory of Wesley Salmon and myself, provides a sufficient condition in an analysis of causation. To do so I will show how it handles the problem of alleged ‘misconnections’. I show what the conserved quantity theory says about such cases, and why intuitions are not to be taken as sacrosanct.

Certain suggestions recently made by Brunswik (2) concerning the design of experiments in psychology seem to have far reaching implications. Indeed, Brunswik's suggestions appear to the writer to be congruent with Einstein's General Theory of Relativity. Congruences between such diverse disciplines as psychology and physics bear watching if for no other reason than the fact that psychologists frequently point to the physicist as the ideal scientist. Unfortunately, in the writer's opinion, the ideal which the psychologist still admires is the classical, or Newtonian, physicist rather than the modern, or Einsteinian, physicist—the psychologist's outlook being concomitantly distorted. Brunswik's theories of experimental design in psychology, however, are appealing for the very reason that they do not fit the mold of the classical physical experiment, but do seem to be congruent with Einstein's physical theories—with concomitant expansion of scope.

What meaning does epidemiological evidence have for the individual? In evidence-based medicine, epidemiological evidence measures the patient’s risk of the outcome or the change in risk due to an intervention. The patient’s risk is commonly understood as an individual probability. The problem of understanding epidemiological evidence and risk thus becomes the challenge of interpreting individual patient probabilities. I argue that the patient’s risk is interpreted ontically, as a propensity. After exploring formidable problems with this interpretation in the medical context, I propose an epistemic reinterpretation of individual patient probabilities as credences. On this view, epidemiological evidence informs medical uncertainty.

I discuss Earman's program to achieve an objective account of the Higgs mechanism within the C∗ algebraic approach to quantum field theory. Pointing to three results obtained within this approach, I argue that if one follows Earman and understands the Higgs mechanism as a constraint, it appears to be a genuine quantum phenomenon that does not simply arise through the correspondence principle. This casts further this casts doubts on the validity of the Dirac conjecture that identifies first-class constraints and gauge transformations and that provides a major motivation for both Earman's program and Struyve's demonstration that a gauge-invariant account of the Higgs mechanism can be accomplished at the classical level.

The purported failures of ergodic theory (seen in its often proved ineptitude to ground a mechanical explanation of thermodynamics) are shown to arise from misconception of the functions served by scientific explanation. In fact, the predictive failures of ergodic theory are precisely its points of greatest physical utility, where genuinely new knowledge about actual physical systems can be obtained, once the links between explanation and reconstructive estimation are recognized.

Selectionist evolutionary theory has often been faulted for not making novel predictions that are surprising, risky, and correct. I argue that it in fact exhibits the theoretical virtue of predictive capacity in addition to two other virtues: explanatory unification and model fitting. Two case studies show the predictive capacity of selectionist evolutionary theory: parallel evolutionary change in E. coli and the origin of eukaryotic cells through endosymbiosis.

I defend a formulation of the Ramsey Test with a condition for accepting negations of conditionals. It is implicit in the assumptions of the triviality theorems of Gärdenfors, Harper, and Lewis; and it allows for a unified proof of those theorems, from weaker assumptions about belief revision. This leads to a proof of McGee's thesis that iterated conditionals do not obey modus ponens.

Rosenberg argues that intentional generalizations in the human sciences cannot be law-like because they are not amenable to significant empirical refinement. This irrefinability is said to result from the principle that supposedly controls in intentional explanation also serving as the standard for successful interpretation. The only credible evidence bearing on such a principle would then need conform to it. I argue that psychological generalizations are refinable and can be nomic. I show how empirical refinement of psychological generalizations is possible by considering concrete cases. A sufficiently detailed view of the role of psychological generalizations in interpretation allows us to find in psychological investigations instances of bootstrap testing.

Callender and Cohen have proposed to apply a “Gricean strategy” to the constitution problem of scientific representation. They suggest that scientific representation can be reduced to stipulation by epistemic agents. This account has been criticized for not making a distinction between symbolic and epistemic representation and not taking into account the communal aspects of representation. These criticisms would not apply if Grice’s actual strategy were properly employed. I transpose Grice’s strategy to epistemic representation. The main novelty of the resulting account is a distinction between contextual representational use and general representational status, which I address using the notion of indexicality.

As stochastic independence is essential to the mathematical development of probability theory, it seems that any foundational work on probability should be able to account for this property. Bayesian decision theory appears to be wanting in this respect. Savage’s postulates on preferences under uncertainty entail a subjective expected utility representation, and this asserts only the existence and uniqueness of a subjective probability measure, regardless of its properties. What is missing is a preference condition corresponding to stochastic independence. To fill this significant gap, the article axiomatizes Bayesian decision theory afresh and proves several representation theorems in this novel framework.

It is widely held that (1) there are autonomous levels of organization above that of the macromolecule and that (2) at least sometimes macromolecular processes are best explained in terms of such autonomous kinds. I argue that molecular developmental biology honors neither of these claims, and I show that the only way they can be rendered consistent with a minimal physicalism is through the adoption of controversial claims about causation and explanation which undercut the force of these two antireductionism claims.

Entropy is proposed as a concept which in its broader scope can contribute to the study of the General Information System. This paper attempts to identify a few fundamental subconcepts and lemmas which will serve to facilitate further study of system order. The paper discusses: partitioning order into logical and arbitrary kinds; the relationship of order to pattern; and suggested approaches to evaluating and improving the General Information System.