Online research in philosophy

Critics of reliability theories of epistemic justificationoften claim that the `generality problem' is an insurmountabledifficulty for such theories. The generality problem is theproblem of specifying the level of generality at which abelief-forming process is to be described for the purposeof assessing its reliability. This problem is not asintractable as it seems. There are illuminating solutionsto analogous problems in the ethics literature. Reliabilistsought to attend to utilitarian approaches to choices betweeninfinite utility streams; they also ought to attend towelfarist approaches to social choice situations that donot demand full aggregation of individual welfares.These analogies suggest that the traditional `single number'approach to reliability is misguided. I argue that a newapproach – the `vector reliability' approach – is preferable.Vector reliability theories associate target beliefs withreliability vectors – that is, structured collections ofreliability numbers – and construct criteria of epistemicjustification that appeal to these vectors. The bulk of thetheoretical labor involved in a reliability account of epistemicjustification is thus transferred from picking a uniquereliability number to constructing a plausible criterionof epistemic justification.

In his debates with Daniel Kahneman and Amos Tversky, Gerd Gigerenzer puts forward a stricter standard for the proper representation of judgment heuristics. I argue that Gigerenzer’s stricter standard contributes to naturalized epistemology in two ways. First, Gigerenzer’s standard can be used to winnow away cognitive processes that are inappropriately characterized and should not be used in the epistemic evaluation of belief. Second, Gigerenzer’s critique helps to recast the generality problem in naturalized epistemology and cognitive psychology as the methodological problem of identifying criteria for the appropriate specification and characterization of cognitive processes in psychological explanations. I conclude that naturalized epistemologists seeking to address the generality problem should turn their focus to methodological questions about the proper characterization of cognitive processes for the purposes of psychological explanation.

Reliabilism holds that knowledge is true belief reliably caused. Reliabilists should say something about individuating processes; critics deny that the right degree of generality can be specified without arbitrariness. It is argued that this criticism applies as well to processes mentioned in scientific explanations. The gratuitous puzzles created thereby show that the "generality problem" is illusory.

Reliabilism holds that knowledge is true belief reliably caused. Reliabilists should say something about individuating processes; critics deny that the right degree of generality can be specified without arbitrariness. It is argued that this criticism applies as well to processes mentioned in scientific explanations. The gratuitous puzzles created thereby show that the "generality problem" is illusory.

Proposes a solution to the Generality Problem for reliabilism that is based upon the modeling of cognitive processes in the cognitive sciences.

According to reliabilists about epistemic justification, what makes a belief epistemically justified is that it was produced by a reliable process of belief-formation. Earl Conee and Richard Feldman have forcefully presented a problem for such reliabilism, "the generality problem."? The generality problem arises once we realize that the notion of reliability applies straightforwardly only to types of process--for only types of process are repeatable entities which can produce true or false beliefs in each of their instances. Moreover, any token process will be an instance of indefinitely many types of process. Which of these types must be reliable for my belief to be justified, according to reliabilism? That question, generalized to cover every case of belief-formation, is the generality problem for reliabilism. In this paper I propose a solution to the generality problem. The solution makes use of the basing relation, and so, given that it isn't clear how to characterize that relation, it might be thought to replace one problem with another. I argue that, however difficult it is to characterize the basing relation, every adequate epistemological theory must make use of it implicitly or explicitly. Therefore, it is perfectly legitimate to appeal to the basing relation in solving a problem for an epistemological theory.

The No-Miracles Argument (NMA) is often used to support scientific realism. We can formulate this argument as an inference to the best explanation (IBE), but doing so leads to the worry that it is viciously circular. Realists have responded to this accusation of circularity by appealing to reliabilism, an externalist epistemology. In this paper I argue that this retreat fails. Reliabilism suffers from a potentially devastating difficulty known as the Generality Problem and attempts to solve this problem require adopting both epistemic and metaphysical assumptions regarding local scientific theories. Although the externalist can happily adopt the former, if he adopts the latter then the Generality Problem arises again, but now at the level of scientific methodology. Answering this new version of the Generality Problem is impossible for the scientific realist without making the important further assumption that there exists the possibility of a unique rule of IBE. Doing this however would make the NMA viciously premise circular.

In “Why the generality problem is everybody’s problem,” Michael Bishop argues that every theory of justification needs a solution to the generality problem. He contends that a solution is needed in order for any theory to be used in giving an acceptable account of the justificatory status of beliefs in certain examples. In response, first I will describe the generality problem that is specific to process reliabilism and two other sorts of problems that are essentially the same. Then I will argue that the examples that Bishop presents pose no such problem for some theories. I will illustrate the exempt theories by describing how an evidentialist view can account for the justification in the examples without having any similar problem. It will be clear that other views about justification are likewise unaffected by anything like the generality problem.

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 widely considered to be a devastating objection to reliabilist theories of justification. My goal in this paper is to argue that a version of the generality problem applies to all plausible theories of justification. Assume that any plausible theory must allow for the possibility of reflective justification—S’s belief, B, is justified on the basis of S’s knowledge that she arrived at B as a result of a highly (but not perfectly) reliable way of reasoning, R. The generality problem applies to all cases of reflective justification: Given that B is the product of a process-token that is an instance of indefinitely many belief-forming process-types (or BFPTs), why is the reliability of R, rather than the reliability of one of the indefinitely many other BFPTs, relevant to B’s justificatory status? This form of the generality problem is restricted because it applies only to cases of reflective justification. But unless it is solved, the generality problem haunts all plausible theories of justification, not just reliabilist ones.