According to the fitting-attitudes account of value, for X to be good is for it to be fitting to value X. But what is it for an attitude to be fitting? A popular recent view is that it is for there to be sufficient reason for the attitude. In this paper we argue that proponents of the fitting-attitudes account should reject this view and instead take fittingness as basic. In this way they avoid the notorious ‘wrong kind of reason’ problem, (...) and can offer attractive accounts of reasons and good reasoning in terms of fittingness. (shrink)

Reasoning is a certain kind of attitude-revision. What kind? The aim of this paper is to introduce and defend a new answer to this question, based on the idea that reasoning is a goodness-fixing kind. Our central claim is that reasoning is a functional kind: it has a constitutive point or aim that fixes the standards for good reasoning. We claim, further, that this aim is to get fitting attitudes. We start by considering recent accounts of reasoning due to Ralph (...) Wedgwood and John Broome, and argue that, while these accounts contain important insights, they are not satisfactory: Wedgwood’s rules out too much, and Broome’s too little. We then introduce and defend our alternative account, discuss some of its implications and attractions, and, finally, consider objections. (shrink)

What makes the difference between good and bad reasoning? In this paper we defend a novel account of good reasoning—both theoretical and practical—according to which it preserves fittingness or correctness: good reasoning is reasoning which is such as to take you from fitting attitudes to further fitting attitudes, other things equal. This account, we argue, is preferable to two others that feature in the recent literature. The first, which has been made prominent by John Broome, holds that the standards of (...) good reasoning derive from rational requirements. The second holds that these standards derive from reasons. We argue that these accounts face serious difficulties in correctly distinguishing good from bad reasoning, and in explaining what's worthwhile about good reasoning. We then propose our alternative account and argue that it performs better on these counts. In the final section, we develop certain elements of the account in response to some possible objections. (shrink)

As rational agents, we are governed by reasons. The fact that there’s beer at the pub might be a reason to go there and a reason to believe you’ll enjoy it. As this example illustrates, there are reasons for both action and for belief. There are also many other responses for which there seem to be reasons – for example, desire, regret, admiration, and blame. This diversity raises questions about how reasons for different responses relate to each other. Might certain (...) such reasons be more fundamental than others? Should certain reasons and not others be treated as paradigmatic? At least implicitly, many philosophers treat reasons for action as the fundamental or paradigmatic case. In contrast, this paper articulates and defends an alternative approach, on which reasons for attitudes are fundamental, and reasons for action are both derivative and, in certain ways, idiosyncratic. After outlining this approach, we focus on defending its most contentious thesis, that reasons for action are fundamentally reasons for intention. We offer two arguments for this thesis, which turn on central roles of reasons: that reasons can be responded to, and that reasons can feature as premises of good reasoning. We then examine objections to the thesis and argue that none succeed. We conclude by sketching some ways in which our approach is significant for theorising about reasons. (shrink)

This is a survey of recent debates concerning the normativity of belief. We explain what the thesis that belief is normative involves, consider arguments for and against that thesis, and explore its bearing on debates in metaethics.

According to Paul Boghossian and others, inference is subject to the taking condition: it necessarily involves the thinker taking his premises to support his conclusion, and drawing the conclusion because of that fact. Boghossian argues that this condition vindicates the idea that inference is an expression of agency, and that it has several other important implications too. However, we argue in this paper that the taking condition should be rejected. The condition gives rise to several serious prima facie problems and (...) the reasons which have been offered in favour of it fail to convince. (shrink)

Norm-attitude accounts of value say that for something to be valuable is for there to be norms that support valuing that thing. For example, according to fitting-attitude accounts, something is of value if it is fitting to value, and according to buck-passing accounts, something is of value if the reasons support valuing it. Norm-attitude accounts face the partiality problem: in cases of partiality, what it is fitting to value, and what the reasons support valuing, may not line up with what’s (...) valuable. Buck-passers have a solution to this problem and may claim that this gives them an advantage over fitting-attitude accounts. In this paper, we show how fitting-attitudes accounts can offer a broadly analogous, and equally attractive, solution to the problem. (shrink)

What ought you believe? According to a traditional view, it depends on your evidence: you ought to believe (only) what your evidence supports. Recently, however, some have claimed that what you ought to believe depends not on your evidence but simply on what is true: you ought to believe (only) the truth. In this paper, we present and defend two arguments against this latter view. We also explore some of the parallels between this debate in epistemology, and the debate in (...) ethics about whether how you ought to act depends on your epistemic position, or on all the facts. (shrink)

This is a review of two books from Southampton, Conor McHugh and Jonathan Way's Getting Things Right (OUP 2023) and Daniel Whiting's The Range of Reasons in Ethics and Epistemology (OUP 2022).

Conor McHugh and Jonathan Way argue that we should put fittingness rather than reasons first because we can provide an account of the evaluative in terms of the normative only if we put fittingness rather than reasons first. I argue that it is no more difficult to provide an account of the evaluative in terms of the normative if we put reasons rather than fittingness first.

This is a critical notice of Conor McHugh and Jonathan Way's <i>Getting Things Right<\i> (2022, OUP).

This paper explores how the three most common ethical theories, utilitarianism, deontology (specifically Kantianism), and Aristotelian virtue ethics seem to fail to adequately account for what justifies the obligations that our moral judgments hold on us, and where these moral judgements arise. This is because it appears that each of the three theories seems to be a different justification for the narcissistic pursuit of one’s own individual comfort, meaning that, people only act in a way that gives them the most (...) comfort and one’s moral judgements and actions are dictated by what an individual in comfortable with. This comfort is not fully individualized, though, in that is also contains a societal component that relates to one’s desire to not be ostracized. Thus, moral judgments are nothing more than one’s unrelentless pursuit of comfort. (shrink)

This paper explores the development of an ethical guardrail framework for AI systems, emphasizing the importance of customizable guardrails that align with diverse user values and underlying ethics. We address the challenges of AI ethics by proposing a structure that integrates rules, policies, and AI assistants to ensure responsible AI behavior, while comparing the proposed framework to the existing state-of-the-art guardrails. By focusing on practical mechanisms for implementing ethical standards, we aim to enhance transparency, user autonomy, and continuous improvement in (...) AI systems. Our approach accommodates ethical pluralism, offering a flexible and adaptable solution for the evolving landscape of AI governance. The paper concludes with strategies for resolving conflicts between ethical directives, underscoring the present and future need for robust, nuanced and context-aware AI systems. (shrink)

A topic of special importance when it comes to responsibility and implicit bias is responsibility for knowledge. Are there strategies for becoming more responsible and respectful knowers? How might we work together, not just as individuals but members of collectives, to reduce the negative effects of bias on what we see and believe, as well as the wrongs associated with epistemic injustice? To explore these questions, Chapter 9 introduces the concept of epistemic responsibility, a set of practices developed through the (...) cultivation of basic epistemic virtues, such as open-mindedness, epistemic humility, and diligence that help knowers seek information about themselves, others, and the world. (shrink)

A dynamical system is called chaotic if small changes to its initial conditions can create large changes in its behavior. By analogy, we call a dynamical system structurally chaotic if small changes to the equations describing the evolution of the system produce large changes in its behavior. Although there are many definitions of “chaos,” there are few mathematically precise candidate definitions of “structural chaos.” I propose a definition, and I explain two new theorems that show that a set of models (...) is structurally chaotic if it contains a chaotic function. I conclude by discussing the relationship between structural chaos and structural stability. (shrink)

In the latter half of the twentieth century, philosophers of science have argued (implicitly and explicitly) that epistemically rational individuals might compose epistemically irrational groups and that, conversely, epistemically rational groups might be composed of epistemically irrational individuals. We call the conjunction of these two claims the Independence Thesis, as they together imply that methodological prescriptions for scientific communities and those for individual scientists might be logically independent of one another. We develop a formal model of scientific inquiry, define four (...) criteria for individual and group epistemic rationality, and then prove that the four definitions diverge, in the sense that individuals will be judged rational when groups are not and vice versa. We conclude by explaining implications of the inconsistency thesis for (i) descriptive history and sociology of science and (ii) normative prescriptions for scientific communities. (shrink)

Jim Joyce argues for two amendments to probabilism. The first is the doctrine that credences are rational, or not, in virtue of their accuracy or “closeness to the truth” (1998). The second is a shift from a numerically precise model of belief to an imprecise model represented by a set of probability functions (2010). We argue that both amendments cannot be satisfied simultaneously. To do so, we employ a (slightly-generalized) impossibility theorem of Seidenfeld, Schervish, and Kadane (2012), who show that (...) there is no strictly proper scoring rule for imprecise probabilities. -/- The question then is what should give way. Joyce, who is well aware of this no-go result, thinks that a quantifiability constraint on epistemic accuracy should be relaxed to accommodate imprecision. We argue instead that another Joycean assumption — called strict immodesty— should be rejected, and we prove a representation theorem that characterizes all “mildly” immodest measures of inaccuracy. (shrink)

We evaluate the asymptotic performance of boundedly-rational strategies in multi-armed bandit problems, where performance is measured in terms of the tendency (in the limit) to play optimal actions in either (i) isolation or (ii) networks of other learners. We show that, for many strategies commonly employed in economics, psychology, and machine learning, performance in isolation and performance in networks are essentially unrelated. Our results suggest that the appropriateness of various, common boundedly-rational strategies depends crucially upon the social context (if any) (...) in which such strategies are to be employed. (shrink)

Epistemic decision theory (EDT) employs the mathematical tools of rational choice theory to justify epistemic norms, including probabilism, conditionalization, and the Principal Principle, among others. Practitioners of EDT endorse two theses: (1) epistemic value is distinct from subjective preference, and (2) belief and epistemic value can be numerically quantified. We argue the first thesis, which we call epistemic puritanism, undermines the second.

The growing visibility of various forms of creationism in Northern Ireland raises issues for science education. Attempts have been made at political levels to have such “alternatives” to evolution taught in the science classroom, and the issue has received coverage in local press and media. A sample of 112 pre-service science teachers answered a survey on attitudes toward evolution. Preliminary analysis revealed many of these new teachers held views contrary to scientific consensus—over one fifth doubt the evidence for human evolution, (...) and over one quarter dispute the common ancestry of life. Over two thirds indicated a preference for teaching a “range of theories” regarding these issues in science. In addition, 49 pre-service biology teachers viewed a DVD resource promoting “intelligent design” and completed an evaluation of it. The biology teachers also took part in either focus groups or additional questionnaires. A majority took the resource at face value and made positive comments regarding its utility. Many articulated views contrary to the stated positions of science academies, professional associations, and the UK government teaching directives regarding creationism. Most indicated a perception that intelligent design is legitimate science and that there is a scientific “controversy” regarding the legitimacy of evolution. Concern is raised over the ability of these new teachers to distinguish between scientific and non-scientific theories. The suggestion is made that the issue should be addressed directly with pre-service science teachers to make clear the status of such “alternatives.” The paper raises implications for science education and questions for further research. (shrink)

It is common to assume that the problem of induction arises only because of small sample sizes or unreliable data. In this paper, I argue that the piecemeal collection of data can also lead to underdetermination of theories by evidence, even if arbitrarily large amounts of completely reliable experimental and observational data are collected. Specifically, I focus on the construction of causal theories from the results of many studies (perhaps hundreds), including randomized controlled trials and observational studies, where the studies (...) focus on overlapping, but not identical, sets of variables. Two theorems reveal that, for any collection of variables V, there exist fundamentally different causal theories over V that cannot be distinguished unless all variables are simultaneously measured. Underdetermination can result from piecemeal measurement, regardless of the quantity and quality of the data. Moreover, I generalize these results to show that, a priori, it is impossible to choose a series of small (in terms of number of variables) observational studies that will be most informative with respect to the causal theory describing the variables under investigation. This final result suggests that scientific institutions may need to play a larger role in coordinating differing research programs during inquiry. (shrink)

In this paper I would like to offer a new framework for hypothetical reasoning, with the goal of predicting what scenarios we consider when we interpret a conditional or causal claim (such as a sentence containing the word ‘because‘). The idea is that when we interpret a conditional or causal claim, we identify a part of the world to change and imagine changing that. Sentences are about parts of the world: when we interpret a conditional antecedent or because clause, we (...) allow the part of the world it is about to vary. -/- My main evidence for this approach is that it gives just the right range of hypothetical scenarios to account for how we interpret both conditionals and causal claims. Some approaches (such as Stalnaker and Lewis’s semantics of conditionals based on similarity, and Kratzer’s premise semantics) consider too few scenarios, while others (such as Fine’s truthmaker semantics of conditionals) consider too many. The present approach inhabits a Goldilocks zone between these extremes: not too restrictive, not too permissive, but just right. (shrink)

According to Quine, Charles Parsons, Mark Steiner, and others, Russell’s logicist project is important because, if successful, it would show that mathematical theorems possess desirable epistemic properties often attributed to logical theorems, such as aprioricity, necessity, and certainty. Unfortunately, Russell never attributed such importance to logicism, and such a thesis contradicts Russell’s explicitly stated views on the relationship between logic and mathematics. This raises the question: what did Russell understand to be the philosophical importance of logicism? Building on recent work (...) by Andrew Irvine and Martin Godwyn, I argue that Russell thought a systematic reduction of mathematics increases the certainty of known mathematical theorems (even basic arithmetical facts) by showing mathematical knowledge to be coherently organized. The paper outlines Russell’s theory of coherence, and discusses its relevance to logicism and the certainty attributed to mathematics. (shrink)

According to McHugh and Way reasoning is a person-level attitude revision that is regulated by its constitutive aim of getting fitting attitudes. They claim that this account offers an explanation of what is wrong with reasoning in ways one believes to be bad and that this explanation is an alternative to an explanation that appeals to the so-called Taking Condition. I argue that their explanation is unsatisfying.

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)