This paper is about the alethic aspect of epistemic rationality. The most common approaches to this aspect are either normative (what a reasoner ought to/may believe?) or evaluative (how rational is a reasoner?), where the evaluative approaches are usually comparative (one reasoner is assessed compared to another). These approaches often present problems with blindspots. For example, ought a reasoner to believe a currently true blindspot? Is she permitted to? Consequently, these approaches often fail in describing a situation of alethic maximality, (...) where a reasoner fulfills all the alethic norms and could be used as a standard of rationality (as they are, in fact, used in some of these approaches). I propose a function α, which accepts a set of beliefs as inputand returns a numeric alethic value. Then I use this function to define a notion of alethic maximality that is satisfiable by finite reasoners (reasoners with cognitive limitations) and does not present problems with blindspots. Function α may also be used in alethic norms and evaluation methods (comparative and non-comparative) that may be applied to finite reasoners and do not present problems with blindspots. A result of this investigation isthat the project of providing purely alethic norms is defective. The use of function α also sheds light on important epistemological issues, such as the lottery and the preface paradoxes, and the principles of clutter avoidance and reflection. (shrink)

To say that evidence is normative is to say that what evidence one possesses, and how this evidence relates to any proposition, determines which attitude among believing, disbelieving and withholding one ought to take toward this proposition if one deliberates about whether to believe it. It has been suggested by McHugh that this view can be vindicated by resting on the premise that truth is epistemically valuable. In this paper, I modify the strategy sketched by McHugh so as to overcome (...) the initial difficulty that it is unable to vindicate the claim that on counterbalanced evidence with respect to P one ought to conclude deliberation by withholding on P. However, I describe the more serious difficulty that this strategy rests on principles whose acceptance commits one to acknowledging non-evidential reasons for believing. A way to overcome this second difficulty, against the evidentialists who deny this, is to show that we sometimes manage to believe on the basis of non-epistemic considerations. If this is so, one fundamental motivation behind the evidentialist idea that non-epistemic considerations could not enter as reason in deliberation would lose its force. In the second part of this paper I address several strategies proposed in the attempt to show that we sometimes manage to believe on the basis of non-epistemic considerations and show that they all fail. So, I conclude that the strategy inspired by McHugh to ground the normativity of evidence on the value of truth ultimately fails. (shrink)

This paper aims to provide a novel response on behalf of Process Reliabilism to the Swamping Problem. Unlike previous responses, the present response does not involve conditional probabilities (as Goldman and Olsson do), it does not appeal to permissivism or attitudes towards epistemic risk (as Pettigrew does), it will not depend on the generality of the problem (as Carter and Jarvis do) and it does not embrace either evidentialism or evidence monism (as Bjelde does). Instead it appeals to the modal (...) properties of those beliefs formed through reliable process-types. What is more, the argument is generalizable: while I will frame my conclusion in Process Reliabilist terms, it should be of interest to anyone who is a truth monist regarding epistemic value. (shrink)

Bayesian epistemologists support the norms of probabilism and conditionalization using Dutch book and accuracy arguments. These arguments assume that rationality requires agents to maximize practical or epistemic value in every doxastic state, which is evaluated from a subjective point of view (e.g., the agent’s expectancy of value). The accuracy arguments also presuppose that agents are opinionated. The goal of this paper is to discuss the assumptions of these arguments, including the measure of epistemic value. I have designed AI agents based (...) on the Bayesian model and a nonmonotonic framework and tested how they achieve practical and epistemic value in conditions in which an alternative set of assumptions holds. In one of the tested conditions, the nonmonotonic agent, which is not opinionated and fulfills neither probabilism nor conditionalization, outperforms the Bayesian in the measure of epistemic value that I argue for in the paper (α-value). I discuss the consequences of these results for the epistemology of rationality. (shrink)

The value of knowledge has always been a central topic within epistemology. Going all the way back to Plato’s Meno, philosophers have asked, why is knowledge more valuable than mere true belief? Interest in this question has grown in recent years, with theorists proposing a range of answers. But some reject the premise of the question and claim that the value of knowledge is ‘swamped’ by the value of true belief. And others argue that statuses other than knowledge, such as (...) justification or understanding, are distinctively valuable. We will call the general question of why knowledge is valuable the value problem. (shrink)

The value of knowledge has always been a central topic within epistemology. Going all the way back to Plato’s Meno, philosophers have asked, why is knowledge more valuable than mere true belief? Interest in this question has grown in recent years, with theorists proposing a range of answers. But some reject the premise of the question and claim that the value of knowledge is ‘swamped’ by the value of true belief. And others argue that statuses other than knowledge, such as (...) justification or understanding, are distinctively valuable. We will call the general question of why knowledge is valuable the value problem. (shrink)

The value of knowledge has always been a central topic within epistemology. Going all the way back to Plato’s Meno, philosophers have asked, why is knowledge more valuable than mere true belief? Interest in this question has grown in recent years, with theorists proposing a range of answers. But some reject the premise of the question and claim that the value of knowledge is ‘swamped’ by the value of true belief. And others argue that statuses other than knowledge, such as (...) justification or understanding, are distinctively valuable. We will call the general question of why knowledge is valuable the value problem. (shrink)