A scholarly edition of a work by David Hume. The edition presents an authoritative text, together with an introduction, commentary notes, and scholarly apparatus.

In this paper I offer an analysis of causation based upon a theory of mechanisms-complex systems whose internal parts interact to produce a system's external behavior. I argue that all but the fundamental laws of physics can be explained by reference to mechanisms. Mechanisms provide an epistemologically unproblematic way to explain the necessity which is often taken to distinguish laws from other generalizations. This account of necessity leads to a theory of causation according to which events are causally related when (...) there is a mechanism that connects them. I present reasons why the lack of an account of fundamental physical causation does not undermine the mechanical account. (shrink)

v. 1. Nominalism and realism.--v. 2. A theory of universals.

How do we go about weighing evidence, testing hypotheses, and making inferences? The model of " inference to the best explanation " -- that we infer the hypothesis that would, if correct, provide the best explanation of the available evidence--offers a compelling account of inferences both in science and in ordinary life. Widely cited by epistemologists and philosophers of science, IBE has nonetheless remained little more than a slogan. Now this influential work has been thoroughly revised and updated, and features (...) a new introduction and two new chapters. Inference to the Best Explanation is an unrivaled exposition of a theory of particular interest in the fields both of epistemology and the philosophy of science. (shrink)

The development of a compositional model shows the incoherence of such notions as levels of being and both bottom-up and top-down causality. The mathematization of nature through the partial considerations of physics qua quantities is seen to lead to Pythagoreanism, if what is not included in the partial consideration is denied. An ontology of only probabilities, if not Pythagoreanism, is equivalent to a world of primitive dispositionalities. Problems are found with each. There is a need for properties as well as (...) quantities and these properties must be qualitative as well as dispositional. So there is a need for physical qualia (qualities) for the depiction of the intrinsic character of the finest interstices of nature. (shrink)

A previous paper of mine, that criticized Suppes' probabilistic theory of causality, was in turn criticized by Deborah Rosen. This paper is a development of my argument and an answer to Rosen. It is argued that the concept of causation is used in contemporary science in a way that presupposes determinism. It is shown that deterministic assumptions are necessary for inferences from generic to individual causal relations and for various kinds of eliminative arguments.

This selection of D. H. Mellor's work demonstrates the wide ranging originality of his work. It gathers together sixteen major papers on related topics. Together they form a complete modern metaphysics. The first five papers are on aspects of the mind: on our 'selves', their supposed subjectivity and how we refer to them, on the nature of conscious belief and on computational and physicalist theories of the mind. The next five papers deal with dispositions, natural kinds, laws of nature and (...) how they involve natural necessity, universals and objective chances, and the relation between properties and predicates. Then follow three papers about the relations between time, change and causation, the nature of individual causes and effects and of the causal relation between them, and how causation depends on chance. The last three papers discuss the relation between chance and degrees of belief, give a solution to the problem of induction, and argue for an objective interpretation of decision theory. (shrink)

Mellor's subject is singular causation between facts, expressed 'E because C'. His central requirement for causation is that the chance that E if C be greater than the chance that E if $\sim \text{C}\colon \ ch_{\text{C}}>ch_{\sim \text{C}}$. The book is as much about chance as it is about causation. I show that his way of distinguishing ch C from the traditional notion of conditional chance leaves him with a problem about the existence of ch Q when Q is false ; (...) and also that any notion of chance which conforms to the standard calculus has wider application than the causal instances to which Mellor's notion is restricted. Other topics discussed may be gleaned from the headings below. (shrink)

The thesis addresses the nature of causation. It is argued that causation exists and is as local as its causes and effects. As a consequence, the position advocated is contrary to the as yet prevailing view that no 'causal tie' between cause and effect exists. Moreover, it is suggested that this tie can be perceived. The essay attempts to elucidate the nature of causes, effects, and causal mechanisms. It is argued that they are facts rather than particulars or universals. Furthermore (...) it is suggested that these facts can be conceived of as tropes. Finally, in the light of this thesis a few traditional issues are discussed: what is the relation between causation and explanation? How should we conceive of causal laws? Does the idea of mechanisms with different degrees of reliability further our understanding of the determinism/indeterminism issue? (shrink)

In this important book, Ellery Eells explores and refines philosophical conceptions of probabilistic causality. In a probabilistic theory of causation, causes increase the probability of their effects rather than necessitate their effects in the ways traditional deterministic theories have specified. Philosophical interest in this subject arises from attempts to understand population sciences as well as indeterminism in physics. Taking into account issues involving spurious correlation, probabilistic causal interaction, disjunctive causal factors, and temporal ideas, Professor Eells advances the analysis of what (...) it is for one factor to be a positive causal factor for another. A salient feature of the book is a theory of token level probabilistic causation in which the evolution of the probability of a later event from an earlier event is central. This will be a book of crucial significance to philosophers of science and metaphysicians; it will also prove stimulating to many economists, psychologists, and physicists. (shrink)