Online research in philosophy

The leading regularity, counterfactual, and agential accounts of causation converge on the idea that causation is probability-raising. While the necessity of probability-raising for causation remains in dispute, the sufficiency of probability-raising for causation is generally assumed, at least in the direct (no intermediaries involved) and precisely described case. I offer a class of counterexamples: overlappings.

This paper reveals and corrects a flaw in Nozick’s account of knowledge via inference. First, two counterexamples are provided by considering cases which would not typically be regarded as instances of knowledge although they are counted as such by Nozick’s theory. Then the general form of these counterexamples is given. From this it is apparent that the counterexamples show that Nozick’s theory fails to take account of cases in which the subject infers q from p, but in counterfactual situations some proposition other than p would entail q. In view of this, the theory is then revised to eliminate the counterexamples.

In this paper I do three things. First, I argue that Stephen Yablo’s influential account of mental causation is susceptible to counterexamples involving what I call disproportional mental causation. Second, I argue that similar counterexamples can be generated for any alternative account of mental causation that is like Yablo’s in that it takes mental states and their physical realizers to causally compete. Third, I show that there are alternative nonreductive approaches to mental causation which reject the idea of causal competition, and which thus are able to allow for disproportional mental causation. This, I argue, is a significant advantage for such noncompetitive accounts.

There has been no shortage of such conceptual analyses and no shortage of counterexamples to all of them. The counterexamples exploit, at least partly, situations in which we are presumed to have clear intuitions about what causes what, but which intuitions are not being respected by the suggested philosophical analysis. The counterexamples typically lead to a battery of sophisticated attempts to revise or amend the philosophical analysis so that it is saved from refutation. These attempts, typically, either deny the intuitions on which the counterexamples are based or accommodate the problematic cases within the theory by adding further clauses to the original philosophical analysis. The result of all this is that where the original philosophical theory rested on a simple, forceful and intuitively plausible idea (e.g., that causation consists in a relation of counterfactual dependence between discrete events), the modified philosophical theory becomes very convoluted, somewhat ad hoc and implausible.

This paper examines a promising probabilistic theory of singular causation developed by David Lewis. I argue that Lewis' theory must be made more sophisticated to deal with certain counterexamples involving pre-emption. These counterexamples appear to show that in the usual case singular causation requires an unbroken causal process to link cause with effect. I propose a new probabilistic account of singular causation, within the framework developed by Lewis, which captures this intuition.

One part of the true theory of actual causation is a set of conditions responsible for eliminating all of the non-causes of an effect that can be discerned at the level of counterfactual structure. I defend a proposal for this part of the theory.

This paper criticizes a recent account of token causation that states that negative causation involving absences of events is of a fundamentally different kind from positive causation involving events. The paper employs the structural equations framework to advance a theory of token causation that applies uniformly to positive and negative causation alike.

Judea Pearl (2000) has recently advanced a theory of token causation using his structural equations approach. This paper examines some counterexamples to Pearl's theory, and argues that the theory can be modified in a natural way to overcome them.

Structural equations have become increasingly popular in recent years as tools for understanding causation. But standard structural equations approaches to causation face deep problems. The most philosophically interesting of these consists in their failure to incorporate a distinction between default states of an object or system, and deviations therefrom. Exploring this problem, and how to fix it, helps to illuminate the central role this distinction plays in our causal thinking.

This paper examines some counterexamples to Judea Pearl's theory of token-causation within his structural equations framework. It argues that it is possible to modify the theory in natural ways to overcome these counterexamples.