Online research in philosophy

A scientific theory, in order to be accepted as a part of theoretical scientific knowledge, must satisfy both empirical and non-empirical requirements, the latter having to do with simplicity, unity, explanatory character, symmetry, beauty. No satisfactory, generally accepted account of such non-empirical requirements has so far been given. Here, a proposal is put forward which, it is claimed, makes a contribution towards solving the problem. This proposal concerns unity of physical theory. In order to satisfy the non-empirical requirement of unity, a physical theory must be such that the same laws govern all possible phenomena to which the theory applies. Eight increasingly demanding versions of this requirement are distinguished. Some implications for other non-empirical requirements, and for our understanding of science are indicated.

Carl G. Hempel has expressed the view that explanation in history is of a kind with explanation in any other branch of empirical science. Historians, according to him, aim at showing that the events they describe are not matters of chance. In the author's opinion there is no necessary connection between these two statements. Historians often aim at showing that the events they describe are matters of chance. But this does not make explanation in history different from explanation in other branches of empirical science.

The intuitive notion of a statistical explanation has been explicated in different ways; recently it has even been claimed that there are no statistical explanations at all. In an attempt to clarify the disputed issue, the approaches adopted by Hempel, by Jeffrey, Salmon and Greeno, and by Stegmuller are analyzed critically, as far as they are concerned with the explanation of particular events. A solution of the controversy is proposed on the basis of a concept of explanation which refers essentially to a causal analysis of the explanandum. The possibility of statistical explanations, then, becomes contingent upon the existence of indeterministic causation. In conclusion, therefore, a conception of causality is sketched which shows that indeterminism and causal connection are compatible, at least from an epistemological point of view, so that statistical explanation can be seen to represent a specific and possibly irreducible scientific activity.

Using Coffa's paper as a point of departure, this brief note is designed to show that Hempel's inductive-statistical model of explanation implicitly construes explanations of that type as defective deductive-nomological explanations, with the consequence that there is no such thing as genuine inductive-statistical explanation according to Hempel's account. This result suggests a possible implicit commitment to determinism behind Hempel's theory of scientific explanation.

It has been the dominant view that probabilistic explanations of particular facts must be inductive in character. I argue here that this view is mistaken, and that the aim of probabilistic explanation is not to demonstrate that the explanandum fact was nomically expectable, but to give an account of the chance mechanism(s) responsible for it. To this end, a deductive-nomological model of probabilistic explanation is developed and defended. Such a model has application only when the probabilities occurring in covering laws can be interpreted as measures of objective chance, expressing the strength of physical propensities. Unlike inductive models of probabilistic explanation, this deductive model stands in no need of troublesome requirements of maximal specificity or epistemic relativization.

In scientific explanations, the explanans theory is sometimes incommensurable with the explanandum empirical data. How is this possible, especially when the explanation is deductive in nature? This paper attempts to solve the puzzle without relying on any particular theory of reference. For us, it is rather obvious that the geometric idea of projection plays a key role in Keplers explanation of Tycho Brahes empirical data. We discover that a similar mechanism operates in theoretic explanations in general. In short, all theoretic explanations are projective explanations. If so, there should be no logical reason why explanans theories cannot be incommensurable with explanandum data. For illustration, we analyse Einsteins explanation of the results of the Michelson–Morley experiment in some detail.

The present paper first shows that the validity of deductive-nomological (D-N) explanations (systematizations) depends in general on the interpretation context of the predicates involved in the explanation. Therefore, no logical-semantical model can be adequate. This problem is solved by relativisation of the validity criteria on both the confirmation context and the definition context of the premisses. Based upon this, a logical-pragmatical model of D-N explanation is developed. Thereby, especially explanations of laws and global explanations are taken into consideration, since these can be regarded as prototypes of scientific explanation.

This paper describes the development of theories of scientific explanation since Hempel's earliest models in the 1940ies. It focuses on deductive and probabilistic whyexplanations and their main problems: lawlikeness, explanation-prediction asymmetries, causality, deductive and probabilistic relevance, maximal specifity and homogenity, the height of the probability value. For all of these topic the paper explains the most important approaches as well as their criticism, including the author's own accounts. Three main theses of this paper are: (1) Both deductive and probabilistic explanations are important in science, not reducible to each other. (2) One must distinguish between (cause giving) explanations and (reason giving) justifications and predictions. (3) The adequacy of deductive as well as probabilistic explanations is relative to a pragmatically given background knowledge-which does not exclude, however, the possibility of purely semantic models.

A Constructivist Foundation of the Objects of Scientific Empirical Theories. The following considerations are guided by the assumption that the objects of any scientific empirical theory are constructs as well as the theories themselves, the construction of these object-constructs being fundamentally dependent on the theories' functioning in the provision of practically relevant empirical explanations. The relevance of these explanations consists in their contribution to the improvement of at least one practical capacity through enabling the invention of at least one improving kind of practical actions. In an excursus on the origination and the development of the notion of theory within human history the view is held, in contrast to Aristotle, that theorization has always aimed at practical relevance, however in a broader sense of "practical" than that in which Aristotle uses the term "πρακτικός", and that only the practical functions of theory-construction have changed over the times, and their object-constructs correspondingly. The latest form of theory with the above-mentioned function in the development of social practice is the scientific explanatory empirical theory with the descriptive empirical theory now no longer fulfilling a practical function of its own, but only a service-function of data acquisition for the explanatory theory. The object-constructs of strictly scientific empirical theories in the sense of explanatory theories for the improvement of practical capacities are here considered to be empirical quasi-actions, those of the dependent descriptive empirical theories either quasi-instruments or quasi-products or quasi-materials of the respective kind of quasi-actions of the explanatory theory. The empirical quasi-action is here conceived as the latest in a sequence of developing object-constructs that have resulted from different and successively more effective attempts at better survival of human beings and even from prehuman stages of evolution. The author envisages a differentiation of empirical quasi-actions into further sub-categories to provide the conceptual bases for the construction of objects of new kinds of scientific explanatory empirical theories that might become practically relevant for the improvement of new kinds of practical capacities to be preferably improved for the advancement of social practice: Beside the already relevant category of empirical processes (as I named it) are here proposed the further categories of empirical originations of meaning and of empirical originations of practical actions as conceptual bases for object-constructs of future scientific empirical theories.

In this article the outlines are sketched of an empirical science of literature as close as possible to the model of the natural sciences. This raises the question of what the standards of an empirical science in the strictest sense should generally be. Practical relevance of its results soon turns up as the fundamental condition for an explanatory empirical science, if the ideology of nearing an empirical truth is no longer accepted and a mere pragmatic justification rejected as its insufficient substitute. As a consequence the logical priority of scientific explanation over scientific description is considered irrefutable. The so-called "sciences of understanding" - among them a "science of literature" - are confronted with a special difficulty, if they want to become explanatory empirical sciences. Their practical problems to be solved are related to linguistically or semiotically coded facts. To empirically describe these problematic facts causes this difficulty, which the author tries to overcome with recourse to ideas from Wittgenstein. And the practical relevance, which may be achieved with the help of nomological explanations, here doesn't consist in predictions for better practical production of means, direct or indirect, for survival, but in the provision of rational understanding for better practical teaching or criticism. This practical relevance is shown in the explanation of valuing acts of readers of The Golden Bowl by Henry James. The meaning of a literary text is no longer taken as a possible object of scientific empirical explanation, nor its rational justification as a scientific goal that might be practically relevant.