Online research in philosophy

It is argued that current solutions to the question of how to individuate events do not work. Jonathan Bennett's thesis that the indeterminacy here is only semantic, not ontological, is refuted. An alternative account of why events resemble facts (although their identity criteria are less fine-grained) is defended.

The propensity interpretation of probability was introduced by Popper ([1957]), but has subsequently been developed in different ways by quite a number of philosophers of science. This paper does not attempt a complete survey, but discusses a number of different versions of the theory, thereby giving some idea of the varieties of propensity. Propensity theories are classified into (i) long-run and (ii) single-case. The paper argues for a long-run version of the propensity theory, but this is contrasted with two single-case propensity theories, one due to Miller and the later Popper, and the other to Fetzer. The three approaches are compared by examining how they deal with a key problem for the propensity approach, namely the relationship between propensity and causality and Humphreys' paradox.

events all seem to have something in common, metaphysically speaking, and some philosophers have inquired into what this common nature is. The main aim of a theory of events is to propose and defend an identity condition on events; that is, a condition under which two events are identical. For example, if Brutus kills Caesar by stabbing him, are there two events, the stabbing and the killing, or only one event? Each of the leading theories of events is surveyed in this article. According to Jaegwon Kim, events are basically property instantiations. In contrast, Donald Davidson attempts to individuate events by their causes and effects. However, Davidson eventually rejects this view and, together with W.V.O. Quine, individuates events with respect to their location in spacetime. According to David Lewis, an event is a property of a spatiotemporal region.

Cases of overdetermination or preemption continue to play an important role in the debate about the proper interpretation of causal claims of the form "C was a cause of E". I argue that the best treatment of preemption cases is given by Mackie's venerable INUS account of causal claims. The Mackie account suffers, however, from problems of its own. Inspired by its ability to handle preemption, I propose a dramatic revision to the Mackie account – one that Mackie himself would certainly have rejected – to solve these difficulties. The result is, I contend, a very attractive account of singular causal claims.

In response to counterexamples involving late preemption, David Lewis (1986) revised his original (1973) counterfactual analysis of causation to include the notion of quasi-dependence. Jonardon Ganeri, Paul Noordhof and Murali Ramachandran (1998) argue that their ‘PCA*-analysis’ of causation solves the problem of late preemption and is superior to Lewis’s analysis. I show that neither quasi-dependence nor the PCA*-analysis solves the problem of late preemption.

Libet's experiments, supported by a strict one-to-one identity thesis between brain events and mental events, have prompted the conclusion that physical events precede the mental events to which they correspond. We examine this claim and conclude that it is suspect for several reasons. First, there is a dual assumption that an intention is the kind of thing that causes an action and that can be accurately introspected. Second, there is a real problem with the method of timing the mental events concerned given that Libet himself has found the reports of subjects to be unreliable in this regard. Third, there is a suspect assumption that there are such things as timable and locatable mental and brain events accompanying and causing human behaviour. For all these reasons we reject the claim that physical events are prior to and explain mental events.

This paper investigates the relations between causality and propensity. Aparticular version of the propensity theory of probability is introduced, and it is argued that propensities in this sense are not causes. Some conclusions regarding propensities can, however, be inferred from causal statements, but these hold only under restrictive conditions which prevent cause being defined in terms of propensity. The notion of a Bayesian propensity network is introduced, and the relations between such networks and causal networks is investigated. It is argued that causal networks cannot be identified with Bayesian propensity networks, but that causal networks can be a valuable heuristic guide for the construction of Bayesian propensity networks.

Counter factual theories of Causation have had problems with cases of probabilistic causation and preemption. I put forward a counterfactual theory that seems to deal with these problematic cases and also has the virtue of providing an account of the alleged asymmetry between hasteners and delayers: the former usually being counted as causes, the latter not. I go on to consider a new type of problem case that has not received so much attention in the literature, those I dub catalysts and anti-catalysts, and show how my account needs to be adjusted to deliver the right verdicts in these cases. The net result is a particular conception of a cause that I try to spell out in the closing section of the paper. In that section, I also briefly discuss causal asymmetry and the purpose behind providing a counterfactual theory of causation.

David Lewis’s latest theory of causation defines the causal link in terms of the relation of influence between events. It turns out, however, that one event’s influencing another is neither a necessary nor sufficient condition for its being a cause of that event. In the article one particular case of causality without influence is presented and developed. This case not only serves as a counterexample to Lewis’s influence theory, but also threatens earlier counterfactual analyses of causation by admitting a particularly troublesome type of preemption. The conclusion of the article is that Lewis’s influence method of solving the preemption problem fails, and that we need a new and fresh approach to the cases of redundant causation if we want to hold on to the counterfactual analysis of causation.

A critical survey of the main philosophical theories about events and event talk, organized in three main sections: (i) Events and Other Categories (Events vs. Objects; Events vs. Facts; Events vs. Properties; Events vs. Times); (ii) Types of Events (Activities, Accomplishments, Achievements, and States; Static and Dynamic Events; Actions and Bodily Movements; Mental and Physical Events); (iii) Existence, Identity, and Indeterminacy.