In ‘Epistemic Folkways and Scientific Epistemology’Goldman offers a theory of justification inspired by the exemplar account of concept representation. I discuss the connection and conclude that the analogy does not support the theory offered. I then argue that Goldman's rule consequentialist framework for analysis is vulnerable to a problem of epistemic access, and use this to present an analysis of justification as an indicator concept we use to track how well the evaluated agent is doing with respect to the (...) primary epistemic norm of believing truths and not falsehoods. A theory of justification along these lines is then given, and its prospects of handling the evil demon objection to reliabilism are assessed. (shrink)

Reliabilism is a general approach to epistemology that emphasizes the truth conduciveness of a belief forming process, method, or other epistemologically relevant factor. The reliability theme appears both in theories of knowledge and theories of justification. ‘Reliabilism’ is sometimes used broadly to refer to any theory of knowledge or justification that emphasizes truth getting or truth indicating properties. These include theories originally proposed under different labels, such as ‘tracking’ theories. More commonly, ‘reliabilism’ is used narrowly to refer (...) to process reliabilism about justification. This entry discusses reliabilism in both broad and narrow senses but concentrates on reliability theories of justified belief, especially process reliabilism. (shrink)

Goldman and Olsson ( 2009 ) have responded to the common charge that reliabilist theories of knowledge are incapable of accounting for the value knowledge has beyond mere true belief. We examine their “conditional probability solution” in detail, and show that it does not succeed. The conditional probability relation is too weak to support instrumental value, and the specific relation they describe is inessential to the value of knowledge. At best, they have described conditions in which knowledge indicates that additional (...) epistemic value is likely to be forthcoming in the future. We also argue that their motive analogy breaks down. The problem, we conclude, is that being produced by a reliable process is not sufficient for a belief to be justified. (shrink)

In sec. 1.1 I emphasize the meliorative purpose of epistemology, and I characterize Goldman's epistemology as reliabilistic, cognitive, social, and meliorative. In sec. 1.2 I point out that Goldman's weak notion of knowledge is in conflict with our ordinary usage of 'knowledge'. In sec. 2 I argue for an externalist-internalist hybrid conception of justification which adds reliability-indicators to externalist knowledge. Reliability-indicators produce a veritistic surplus value for the social spread of knowledge. In sec. 3 I analyze some particular meliorative rules (...) which have been proposed by Goldman. I prove that obedience to the rule of maximally specific evidence increases expected veritistic value (sec. 3.1), and I argue that rule-circular arguments are epistemically worthless (sec. 3.2). In the final sec. 3.3 I report a non-circular justification of meta-induction which has been developed elsewhere. (shrink)

An increasing number of epistmeologists claim that having beliefs which are reliable is a prerequisite of having epistemically rational beliefs. Alvin Goldman, for instance, defends a view he calls “historical reliabilism.” According to Goldman, a person S rationally believes a proposition p only if his belief is caused by a reliable cognitive process. Goldman adds that a proposition p is epistemically rational for 5, whether or not it is believed by him, only if there is available to S a (...) reliable cognitive process which if used would result in S’s believing p. Likewise, Marshall Swain, Ernest Sosa, and William Alston all claim that reliability is a prerequisite of epistemic rationality. Swain claims that S rationally believes p only if he has reasons for p which are reliable indicators that p is true. Sosa says S rationally believes p only if the belief is the product of an intellectual virtue, where intellectual virtues are stable dispositions to acquire truths. And, Alston says that S rationally believes p only if the belief is acquired or held in such a way that beliefs held in that way are reliable, i.e., mostly true. (shrink)

Mainstream epistemologists have recently made a few isolated attempts to demonstrate the particular ways, in which specific types of knowledge are partly social. Two promising cases in point are Lackey’s dualism in the epistemology of testimony and Goldberg’s process reliabilist treatment of testimonial and coverage-support justification. What seems to be missing from the literature, however, is a general approach to knowledge that could reveal the partly social nature of the latter anytime this may be the case. Indicatively, even though Lackey (...) :345–361, 2007) has recently launched an attack against the Credit Account of Knowledge on the basis of testimony, she has not classified her view of testimonial knowledge into any of the alternative, general approaches to knowledge. Similarly, even if Goldberg’s attempt to provide a process reliabilist explanation of the social nature of testimonial knowledge is deemed satisfactory, his attempt to do the same in the case of coverage-support justification does not deliver the requisite result. This paper demonstrates that CAK can in fact provide, pace Lackey’s renunciation of the view, a promising account of the social nature of both testimonial and coverage-supported knowledge. Additionally, however, it can display further explanatory power by also revealing the social nature of knowledge produced on the basis of epistemic artifacts. Despite their disparities, all these types of knowledge count as partly social in nature, because in all these cases, according to CAK, the epistemic credit for the individual agent’s true belief must spread between the individual agent and certain parts of her epistemic community. Accordingly, CAK is a promising candidate for providing a unified approach to several and, perhaps all possible, instances of what we may call ‘weak epistemic anti-individualism’ within mainstream epistemology: i.e., the claim that the nature of knowledge can occasionally be both social and individual at the same time. (shrink)

This article asks the question, ``what is reliable machine learning?'' As I intend to answer it, this is a question about epistemic justification. Reliable machine learning gives justification for believing its output. Current approaches to reliability (e.g., transparency) involve showing the inner workings of an algorithm (functions, variables, etc.) and how they render outputs. We then have justification for believing the output because we know how it was computed. Thus, justification is contingent on what can be shown about the algorithm, (...) its properties, and its behavior. In this paper, I defend computational reliabilism (CR). CR is a computationally-inspired off-shoot of process reliabilism that does not require showing the inner workings of an algorithm. CR credits reliability to machine learning by identifying reliability indicators external to the algorithm (validation methods, knowledge-based integration, etc.). Thus, we have justification for believing the output of machine learning when we have identified the appropriate reliability indicators. CR is advanced as a more suitable epistemology for machine learning. The main goal of this article is to lay the groundwork for CR, how it works, and what we can expect as a justificatory framework for reliable machine learning. (shrink)

This paper examines the relationship between a family of concepts involving reliable correlation, and a family of concepts involving adaptation and biological function, as these concepts are used in the naturalistic semantic theory of Dretske's "Explaining Behavior." I argue that Dretske's attempt to marry correlation and function to produce representation fails, though aspects of his failure point the way forward to a better theory.

In his Explaining Behavior, Fred Dretske uses a reliabilist theory of representation to try to vindicate the use of intentional explanation for behaviour against latter-day elitninativism. Although Dretske's indicator semantics turns on the notion of function, he himself never explicitly defines what function means. Dretske's reticence in discussing function may ultimately be an error, for, as I argue, his implicit understanding of what a function amounts to does not fit with data from op rant conditioning. Still, this need not (...) be a deep flaw in Dretske and I offer one way in which we may patch up the notion of function via the changes known to occur with learning in the brain. Ultimately, I conclude that the only facts needed to explain behaviour are (1) the conditions in the world that are paired with neuronal circuit activation (as picked out by goals in some circumstances); and (2) what motor output that condition triggers. (shrink)

Presents a collection of released books, topics included are feminism, interactionism and experimental phenomenology. 2012 APA, all rights reserved).

Provides the expenditures and adopted budgets from the Theoretical and Philosophical Psychology Division 24 from 1994 to 1996. 2012 APA, all rights reserved).

Provides the summaries of fourteen books released between 1993 and 1995. Some of the book topics are focused on morality, ethics, and moral philosophies. 2012 APA, all rights reserved).