Igal Kvart

In Kvart (1991a), I discussed the analysis of causal relevance presented in A Theory of Counterfactuals (1986) (and first in 1975). I explained there in what respect the notion captured by the analysis of Kvart (1986) is a mere approximation to the requisite notion of causal relevance. In this paper I present another analysis of causal relevance, devoid of the shortcoming of its predecessor. The present analysis of causal relevance is, again, grounded in a chancelike notion of objective probability. The correlative notion of causal independence is analyzed as holding in case there is a so-called causal impact series, which is defined here. The basic notions used for this analysis are the notion of a differentiator, which upsets an equiprobability case, and that of a blocker, which restores it

In this paper I rely on my account of counterfactuals in order to argue that supervenience and epiphenomenalism are incompatible. This argument is strong when directed against a freestanding epiphenomenalism. Along the way I will also argue that Davidson’s argument in favor of mental causation is not valid. A crucial intermediate point in the argument is the issue of counterfactual transitivity. I argue that, even though in general counterfactual transitivity is invalid, a valid sub-inference can be specified. I also specify under what conditions the inference from a counterfactual to cause holds. Section 1: Supervenience, counterfactuals, mental causation and Davidson. In his “Thinking Causes”,1 Davidson provided the following account, and argument in favor, of mental causation

In this paper, I provide a probabilistic account of factual knowledge, based on the notion of chance, which is a function of an event given a prior history. This account has some affinity with my chance account of token causation, but it neither relies on it nor presupposes it. Here, I concentrate on the core cases of perceptual knowledge and of knowledge by memory. The analysis of knowledge presented below is externalist. The underlying intuition guiding the treatment of knowledge in this paper is that knowledge boils down to high token discriminative indicativeness. Type indicativeness or type discriminability are neither necessary nor sufficient for knowledge: the token aspect comes out in the strong dependence on the specific circumstances and chances of the case. The main condition of the first section, the indicativity condition, properly refined, yields pertinent indicativity as a main constituent. Very roughly, it involves the chance of the content clause p being higher given the subject's believing that p than otherwise. The discriminability condition in question captures the sense of discriminability appropriate for knowledge and yield the indicativity condition: it is an extension of the indicativity condition KI. Roughly, the subject’s ability to discriminate the object in front of her being red from its being green is captured by holding fixed, in the indicativity condition, the condition “the object in front of her is red or green.” A major element in the analysis is the so-called Contrast Class, which governs the scope of discriminability. This is the class of features that have to be taken into account in the discriminability condition, and it is characterized by two constraints. Very roughly, according to the first constraint, for a feature to be in the contrast class, it must not represent a sub-type of the predicate in the content clause. According to the second constraint, which is a central condition with many implications, the chance that the object specified in the content clause has a feature represented in the contrast class must not under the circumstances be too low. This constraint, within the framework of the discriminability condition, brings out a major constitutive aspect of knowledge: knowledge amounts to a limited vulnerability to mistakes of the belief in question under the circumstances at hand. The contrast class plays a major role in my treatment of skepticism. The second constraint on the Contrast Class together with the VHP condition below bring out precisely the way in which perceptual knowledge is fallible.

The two main insights of the account that are at the heart of the notion of knowledge are that the belief that p amounts to high token indicativity of the fact that p, and that knowledge endows high level of immunity from error. In this outline we shall deal with perceptual knowledge and perception-based memory. For these modes of knowledge, another condition is required, beyond that of high token indicativity, which secures the appropriate discriminability condition for knowledge. These conditions will be spelled out in terms of objective chance. So the truth conditions of knowledge ascriptions of that sort will be in terms of truth, belief and chance alone.

In this paper I provide a probabilistic account of factual knowledge,[1] based on the notion of chance.[2] This account has some affinity with my chance account of token causation,[3] but it neither relies on it nor presupposes it. Here I concentrate on the core cases of perceptual knowledge and of knowledge by memory (based on perception). The analysis of knowledge presented below is externalist; but pursuing such an analysis need not detract from the significance of attempts to flesh out justificational analyses knowledge; indeed, I have pursued such an analysis in great detail myself.