Igal Kvart

In the past couple of decades, there were a few major attempts to establish the thesis of pragmatic infringement – that a significant pragmatic ingredient figures significantly in the truth-conditions for knowledge-ascriptions. As candidates, epistemic contextualism and Relativism flaunted conversational standards, and Stanley's SSI promoted stakes. These conceptions were propelled first and foremost by obviously pragmatic examples of knowledge ascriptions that seem to require a pragmatic component in the truth-conditions of knowledge ascriptions in order to be accounted for. However, if such examples can be adequately explained purely pragmatically, the need that such examples seem to invoke in such a pragmatic component is undermined. Here I lay out a new pragmatic account – of action-directed pragmatics, offering a different account of such examples and their pragmatic flavor. If adequate, it obviates the above need for pragmatic enrichment. Specifically, I develop and I argue for a well-entrenched pragmatic feature – that of a steering role. The assertions of knowledge ascriptions and their denials as well as of simple assertions (that don't invoke knowledge) play a pragmatic role of steering audiences in joint deliberational setups toward, or away from, the speaker's preferred action (as well as in assertions of 'I am sure', of epistemic modals, taste assertions, causal assertions, and more.) Various features and consequences of this account are drawn. Specifically, I explain why in the bank example (and related ones) the husband, in denying the knowledge ascription, neither lies nor misleads.

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.

I argue that 'know' is only partly, though considerably, gradable. Its being only partly gradable is explained by its multi-parametrical character. That is, its truth-conditions involve different parameters, which are scalar in character, each of which is fully gradable. Robustness of knowledge may be higher or lower along different dimensions and different modes. This has little to do with whether 'know' is context-dependent, but it undermines Stanley's argument that the non-gradability of 'know' renders it non-context-dependent.

Abstract In this paper I present a short outline of an Indicativity Theory of Knowledge, for the cases of Perceptual Knowledge and Knowledge by Memory. I explain the main rationale for a token-indicativity approach, and how it is fleshed out precisely in terms of chances. I elaborate on the account of the value of knowledge it provides, and what that value is. I explain why, given the rationale of conceiving Knowledge as token indicativity, separate sub-accounts in terms of chances should be extracted for the different modes of Knowledge, elaborating on the common core of high token-indicativity. In the main section that outlines the account of Perceptual Knowledge, the main Indicativity condition is presented, as are the main condition of in what sense high token indicativity should yields high chance, the important Discriminability condition, and its associated Contrast Class.

The problem facing us in this paper is that of how to analyze the notion of causal relevance. This is the inverse relation of causal dependence: A is causally irrelevant to C iff C is causally independent of A. As an example of causal relevance, consider: Example 1: A - The American astronaut on Mir scratched his left ear exactly an hour ago B - I am writing this paper right now. Intuitively, A was not causally relevant to B. It is this kind of intuition that I’ll mostly be relying on when analyzing the notion of causal relevance.