Online research in philosophy

We reply to Christoph Jäger's criticism of the conditional probability solution (CPS) to the value problem for reliabilism due to Goldman and Olsson (2009). We argue that while Jäger raises some legitimate concerns about the compatibility of CPS with externalist epistemology, his objections do not in the end reduce the plausibility of that solution.

The value problem for knowledge is the problem of explaining why knowledge is cognitively more valuable than mere true belief. If an account of the nature of knowledge is unable to solve the value problemfor knowledge, this provides a pro tanto reason to reject that account. Recent literature argues that process reliabilism is unable to solve the value problem because it succumbs to an objection known as theswamping objection. Virtue reliabilism (i.e., agent reliabilism), on the other hand, is able to solve the value problem because it can avoid the swamping objection. I argue that virtue reliabilism escapes theswamping objection only by employing what I call an entailment strategy. Furthermore, since an entailment strategy is open to the process reliabilist (in two different forms), I argue that the process reliabilist is also able to escape the swamping objection and thereby solve the value problem for knowledge.

This paper addresses various solutions to Meno's Problem: Why is it that knowledge is more valuable than merely true belief? Given both a pragmatist as well as a veritist understanding of epistemic value, it is argued that a reliabilist analysis of knowledge, in general, promises a hopeful strategy to explain the extra value of knowledge. It is, however, shown that two recent attempts to solve Meno's Problem within reliabilism are severely flawed: Olsson's conditional probability solution and Goldman's value autonomization solution. The paper proceeds with a discussion of the purpose of having a higher value of knowledge as opposed to merely true belief, both in evolutionary and social terms. It claims that under a reliabilist analysis of knowledge it can be explained how knowers could evolve rather than just truthful believers. Subsequently, the paper develops an account of how we can manipulate our testimonial environment in an epistemically beneficial way by valuing reliably produced true belief more that just true belief and so gives an indirect justification of the extra value of knowledge.

In “Process Reliabilism and the Value Problem” I argue that Erik Olsson and Alvin Goldman's conditional probability solution to the value problem in epistemology is unsuccessful and that it makes significant internalist concessions. In “Kinds of Learning and the Likelihood of Future True Beliefs” Olsson and Martin Jönsson try to show that my argument does “not in the end reduce the plausibility” of Olsson and Goldman's account. Here I argue that, while Olsson and Jönsson clarify and amend the conditional probability approach in a number of helpful ways, my case against it remains intact. I conclude with a constructive proposal as to how their account may be steered in a more promising direction.

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.

Recent epistemology has introduced a new criterion of adequacy for analyses of knowledge: such an analysis, to be adequate, must be compatible with the common view that knowledge is better than true belief. One account which is widely thought to fail this test is reliabilism, according to which, roughly, knowledge is true belief formed by reliable process. Reliabilism fails, so the argument goes, because of the "swamping problem". In brief, provided a belief is true, we do not care whether or not it was formed by a reliable process. The value of reliability is "swamped" by the value of truth: truth combined with reliability is no better than truth alone. This paper approaches these issues from the perspective of decision theory. It argues that the "swamping effect" involves a sort of information-sensitivity that is well modelled decision-theoretically. It then employs this modelling to investigate a strategy, proposed by Goldman and Olsson, for saving reliabilism from the swamp, the so-called "conditional probability solution". It concludes that the strategy is only partially successful.

Alvin Goldman and Erik Olsson have recently proposed a novel solution to the value problem in epistemology, i.e., to the question of how to account for the apparent surplus value of knowledge over mere true belief. Their “conditional probability solution” maintains that even simple process reliabilism can account for the added value of knowledge, since forming true beliefs in a reliable way raises the objective probability that the subject will have more true belief of a similar kind in the future. I argue that this proposal confronts significant internal problems and implicitly invokes higher-level epistemic conditions that run against the spirit of externalism.

According to the so?called swamping problem, reliabilist knowledge is no more valuable than mere true belief. In a paper called ?Reliabilism and the value of knowledge? (in Epistemic value, edited by A. Haddock, A. Millar, and D. H. Pritchard, pp. 19?41. Oxford: Oxford University Press, 2009), Alvin I. Goldman and myself proposed, among other things, a solution based on conditional probabilities. This approach, however, is heavily criticized by Jonathan L. Kvanvig in his paper ?The swamping problem redux: Pith and gist? (in Social Epistemology, edited by A. Haddock, A. Millar, and D. H. Pritchard, pp. 89?111. Oxford: Oxford University Press, 2010). In the present article, I defend the conditional probability solution against Kvanvig?s objections.

Knowledge is more valuable than mere true belief. Many authors contend, however, that reliabilism is incompatible with this item of common sense. If a belief is true, adding that it was reliably produced doesn't seem to make it more valuable. The value of reliability is swamped by the value of truth. In Goldman and Olsson (2009), two independent solutions to the problem were suggested. According to the conditional probability solution, reliabilist knowledge is more valuable in virtue of being a stronger indicator than mere true belief of future true belief. This article defends this solution against some objections.

The Swamping Problem is one of the standard objections to reliabilism. If one assumes, as reliabilism does, that truth is the only non instrumental epistemic value, then the worry is that the additional value of knowledge over true belief cannot be adequately explained, for reliability only has instrumental value relative to the non instrumental value of truth. Goldman and Olsson reply to this objection that reliabilist knowledge raises the objective probability of future true beliefs and is thus more valuable than mere true belief. I argue against their proposed solution to the Swamping Problem that the conditional probability of future true beliefs given knowledge is not clearly higher than given mere true belief.