In a recent paper, Jie Gao (Synthese 194:1901–17, 2017) has argued that there are acceptance-based counterexamples to the knowledge norm for practical reasoning (KPR). KPR tells us that we may only rely on known propositions in practical reasoning, yet there are cases of practical reasoning in which we seem to permissibly rely on merely accepted propositions, which fail to constitute knowledge. In this paper, I will argue that such cases pose no threat to a more broadly conceived knowledge-based view of (...) practical reasoning. I will first motivate the view that rational acceptance depends on a knowledge-based condition being met. I will then show how KPR can be amended—yielding what I call KPR+—to include this condition. I will argue that KPR+ not only avoids Gao’s counterexample, but harbours additional explanatory power by providing an account of the normative role of acceptance in practical reasoning. Finally, I will defend KPR+ against objections by employing theoretical tools that are readily available to those sympathetic to knowledge-based views. (shrink)

During the past several decades, many epistemologists have argued for and contributed to a paradigm shift according to which knowledge is central to assertion, action, and interaction. This general position stands in sharp contrast to several recently developed accounts regarding specific epistemic contexts. These specific accounts resist applying traditional epistemic norms, including strong knowledge norms, to real-world situations of interest. In particular, I consider recent arguments about the epistemic standards for scientific pronouncements, expert testimony in a political context, and interactive (...) reasoning. I argue, firstly, that knowledge does have a crucial role to play in each case, contrary to appearances. Clarifying the role of knowledge fills gaps in our understanding left open by the existing accounts. Secondly, I show that combining the insights from the knowledge-centric approach and from the more specific accounts provides a new perspective on the open problem of developing an account of knowledge-based decisions. Specifically, I argue that the biggest open problem regarding knowledge-based decisions is not how we respond to uncertainty, but rather how we assess the relevance of our many disparate pieces of knowledge, choosing which to integrate, and how. A strong case emerges for a procedural solution to this part of the problem of how to make knowledge-based decisions. (shrink)

According to a prominent thought, in one’s practical reasoning one should rely only on what one knows. Yet for many choices, the relevant information is uncertain. This has led Schiffer to the following objection: oftentimes, we are fully rational in reasoning from uncertain premises which we do not know. For example, we may decide to take an umbrella based on a 0.4 credence that it will rain. There are various ways proponents of a knowledge norm for practical reasoning can respond. (...) One option is to say that the right way of dealing with uncertain information requires knowledge of probabilities. Another option is to say that credences can be knowledge because they really are beliefs with an unusual kind of content that consists of a set of probability spaces. Mixed accounts are possible as well. On neither of the accounts in the literature, however, can reasoning from uncertain premises be taken as reasoning based on a graded attitude, a credence, toward an ordinary proposition. To make room for this possibility, I argue that reliance comes in degrees. The knowledge norm is only plausible when taken to be concerned with full reliance.Partial reliance, on the other hand, goes hand in hand with credence. (shrink)

Recently there has been extensive debate over whether “belief is weak”, viz, whether the epistemic standard for belief is lower than for assertion or knowledge. While most current studies focus on notions such as “ordinary belief” and “outright belief”, this paper purports to advance this debate by investigating a specific type of belief; memory belief. It is argued that (outright) beliefs formed on the basis of episodic memories are “weak” due to two forms of “entitlement inequality”. My key argument is (...) thus twofold. First, by rejecting the epistemic theory of memory, I argue that one can be entitled to belief but not to knowledge. Second, by scrutinising a recent defence of the belief norm of assertion, it will be demonstrated that belief is weaker than assertion, as long as we expect one to match words with deeds. (shrink)

According to the knowledge norm of belief, one should believe p only if one knows p. However, it can easily seem that the ordinary notion of belief is much weaker than the knowledge norm would have it. It is possible to rationally believe things one knows to be unknown The aim of belief, Oxford University Press, Oxford, 2013). One response to this observation is to develop a technical notion of ‘outright’ belief. A challenge for this line of response is to (...) find a way of getting a grip on the targeted notion of belief. In order to meet this challenge, I characterize ‘outright’ belief in this paper as the strongest belief state implied by knowledge. I show that outright belief so construed allows this notion to play important theoretical roles in connection with knowledge, assertion and action. (shrink)

Fassio and Gao (2021) object to a knowledge-based decision theory on the ground that it cannot deal with unsuccessful inquiry. One way for inquiry to fail is not to know what one should know. If one’s inquiry fails in this way, is a subsequent choice in any way wrong when based on one’s limited actual knowledge? This paper discusses two strategies for dealing with this problem. On a first strategy, there is nothing wrong with such a choice (but something went (...) wrong prior to one’s choice). On a second strategy, there is something wrong with one’s choice and a knowledge-based decision theory should require that one’s decisions be based on the knowledge one should have, not merely on the knowledge one actually has. (shrink)