This chapter considers the present account to be a sufficient response to the generality problem as an objection that specifically targets reliabilism. It identifies the main challenge for reliabilism in relation to the typing of belief‐forming processes. The chapter focuses on insights in cognitive science in a way that should make this response attractive to practitioners of naturalized epistemology, including Goldman himself. The most stimulating part of Conee and Feldman's attack can charitably be viewed as targeting the notion that the (...) reliabilist concepts of knowledge and justification are sufficiently similar to their folk counterparts. The chapter focuses for simplicity on the reliabilist theory of justification (RJ) and on Conee and Feldman's criticism as targeting the faithfulness of RJ with regard to everyday concept of justification. For the purposes of neutralizing Conee and Feldman's central challenge it was sufficient to give a purely descriptive account of how people type belief‐forming processes. (shrink)

Abstract: In this article, the logic and functions of character-trait ascriptions in ethics and epistemology is compared, and two major problems, the "generality problem" for virtue epistemologies and the "global trait problem" for virtue ethics, are shown to be far more similar in structure than is commonly acknowledged. I suggest a way to put the generality problem to work by making full and explicit use of a sliding scale--a "narrow-broad spectrum of trait ascription"-- and by accounting for the various uses (...) of it in an inquiry-pragmatist account. In virtue theories informed by inquiry pragmatism, the agential habits and abilities deemed salient in explanations/evaluations of agents in particular cases, and the determination of what relevant domains and conditions an agent's habit or ability is reliably efficacious in, is determined by pragmatic concerns related to our evaluative epistemic practices. (shrink)

Reliabilist theories of knowledge face the “generality problem”; any token of a belief-forming processes instantiates types of different levels of generality, which can vary in reliability. I argue that we exploit this situation in epistemic evaluation; we appraise beliefs in different ways by adverting to reliability at different levels of generality. We can detect at least two distinct uses of reliability, which underlie different sorts of appraisals of beliefs and believers.

The generality problem is one of the most pressing challenges for reliabilism. The problem begins with this question: of all the process types exemplified by a given process token, which types are the relevant ones for determining whether the resultant belief counts as knowledge? As philosophers like Earl Conee and Richard Feldman have argued, extant responses to the generality problem have failed, and it looks as if no solution is forthcoming. In this paper, I present a new response to the (...) generality problem that illuminates the nature of knowledge-enabling reliability. My response builds upon the insights of Juan Comesaña’s well-founded solution to the generality problem, according to which relevant types are content–evidence pairs, i.e., descriptions of both the target belief’s content and the evidence on which the belief was based. While most responses to the generality problem, including Comesaña’s, only posit one relevant type for any given process token, I argue that knowledge-enabling reliability requires a process token to be reliable with respect to multiple content–evidence pairs, each with varying degrees of descriptive specificity. I call this solution multi-type evidential reliabilism. After offering a clear formulation of MTE, I conclude by arguing that MTE is sufficiently informative to rebut Conee and Feldman’s generality problem objection to a reliability condition on knowledge. (shrink)

The paper offers a solution to the generality problem for a reliabilist epistemology, by developing an “algorithm and parameters” scheme for type-individuating cognitive processes. Algorithms are detailed procedures for mapping inputs to outputs. Parameters are psychological variables that systematically affect processing. The relevant process type for a given token is given by the complete algorithmic characterization of the token, along with the values of all the causally relevant parameters. The typing that results is far removed from the typings of folk (...) psychology, and from much of the epistemology literature. But it is principled and empirically grounded, and shows good prospects for yielding the desired epistemological verdicts. The paper articulates and elaborates the theory, drawing out some of its consequences. Toward the end, the fleshed-out theory is applied to two important case studies: hallucination and cognitive penetration of perception. (shrink)