Evolutionary accounts of morality consider behavior in rather simple scenarios. Evolutionary work on fairness focuses on the division of a windfall and, importantly, assumes that the positions of those involved are entirely symmetric. I consider more complicated strategic settings and find that there is a strong tendency for evolution to produce divisions consistent with the so-called Nash bargaining solution. I also uncover the evolutionary importance of comprehensiveness, an often-overlooked feature of division problems.

The pervasive contrast in modern life between the certainties of science and technology, on the one hand, and the uncertainties of human goals and policies, on the other, is the objective source of a fundamental conflict in theory. It is now widely held that facts are rather definitely verifiable, but that values are unverifiable; though other students assume that values are also verifiable in some significant sense and degree.

Calibrating a simulation is a crucial step for certain kinds of simulation modeling, and it results in a simulation that is epistemically different from its pre- or uncalibrated counterpart. This article discusses how simulation model builders mitigate uncertainty about model parameters that are necessary for modeling through calibration and argues that the simulation outcomes after calibration are physically meaningful and relevant. When evaluating the epistemic status of computer simulations, comparisons between computer simulations and traditional experiments need to consider this important methodological step.

Philip Kitcher and Wesley C. Salmon have edited an important anthology of new papers on scientific explanation, a central problem—possibly the central problem—in the theory of science (Kitcher and Salmon 1989). Their collection begins with a comprehensive essay by Salmon that attempts to trace the development of work on this issue from Hempel and Oppenheim (1948) to the present. The University of Minnesota Press has published this article as a separate volume (Salmon 1990), which it is promoting as “a definitive introduction” to this area of inquiry. Apart from its preface and indices, the Salmon volume is identical with the original essay.

A gas relaxing into equilibrium is often taken to be a process in which a system moves from an “improbable” to a “probable” state. Given that the thermodynamic entropy increases during such a process, it is natural to conjecture that the thermodynamic entropy is a measure of the probability of a macrostate. For nonideal classical gases, however, I claim that there is no clear sense in which the thermodynamic entropy of a macrostate measures its probability. We must therefore reject the idea that (in classical mechanics) thermodynamic entropy and probability are connected in a deep and general way.

Objective chance, or the “big bad bug” of David Lewis's account of Humean Supervenience forces, as is well known, is a modification of the Principal Principle. Here, I argue that standard assumptions regarding conditional probabilities entail several puzzling consequences for Lewis's New Principle, namely, an apparent requirement to account for the chance of a theory of chance. These problems, I argue, cannot be adequately answered within the received framework, and so I suggest that an interpretation of conditional probabilities in terms of Alan Hájek's recent work might go some distance toward their resolution.

Philosophy of science and, more specifically, philosophy of quantum physics can be but special fields of a general philosophy of knowledge; and the problems arising in these fields can be evaluated properly only when they are seen under the perspective of the whole range of human knowledge. This paper deals with problems of quantum physics and, in particular, with the problem of scientific objects in quantum physics from the epistemological point of view previously defined in the author's books, A Philosophy of Science (1940) and The Basis and Structure of Knowledge (1948). The argument of the paper, however, has not been stated before in the direct and concise manner here attempted and may therefore contain elements of novelty even for those readers who are familiar with the books just mentioned.

In [2] I have presented a sketch of a principle which I suggested was powerful enough to enable us with its aid to solve a number of well known problems in the philosophy of science. James Moor in [1] expresses the opinion that my principle is too strong so as to be destructive and proposes instead a considerably watered down alternative which may be used for constructive purposes only. I shall deal here with his two major objections only and show that on a careful enough analysis it becomes evident that he has not raised any difficulties for my principle.

It is impossible for us to understand the character of Newton or the state of the physical sciences in the seventeenth century, without referring at length to the life and work of Robert Hooke.’ So writes the author of a recent biography of Newton. Well might we ask with him ‘What manner of man was he whose personal opposition delayed the publication of Newton's Optics for thirty years and almost prevented the completion of the Principia; whose bitter tongue confirmed Newton's tendency to secrecy and isolation, destroyed his early enthusiasm for the Royal Society, and disgusted him with science?’ It is not surprising that a man, capable of all this, should play a conspicuous rôle in the history of natural philosophy. Indeed a study of Hooke's career throws much light on the origins of modern science and, in particular, it helps to determine the much disputed status of mathematics in the development of physical theory.

The charge that the limit-frequency theory of probability is inconsistent due to incompatibility between the required features of randomness and limit convergence is inapplicable when probability sequences are taken to be empirically (i.e., extensionally) generated, as they must be on a strictly empirical conception of probability.

All past attempts to meet this charge by formulating constructive definitions of randomness that would still allow for a demonstrable limit-convergence have, in their exclusive concern with logically (i.e., intensionally) prescribed sequences, left the logic of extensional classes essentially untouched. In the light of a strict differentiation between intensional and extensional classes a generalized approach is possible under which several closely connected senses of randomness, i.e., the formal, material, restricted and unrestricted senses may be easily distinguished and related to the notion of relevance.