The past 15 years occasioned an extraordinary blossoming of research into the cognitive and affective mechanisms that support moral judgment and behavior. This growth in our understanding of moral mechanisms overshadowed a crucial and complementary question, however: How are they learned? As this special issue of the journal Cognition attests, a new crop of research into moral learning has now firmly taken root. This new literature draws on recent advances in formal methods developed in other domains, such as Bayesian inference, (...) reinforcement learning and other machine learning techniques. Meanwhile, it also demonstrates how learning and deciding in a social domain—and especially in the moral domain—sometimes involves specialized cognitive systems. We review the contributions to this special issue and situate them within the broader contemporary literature. Our review focuses on how we learn moral values and moral rules, how we learn about personal moral character and relationships, and the philosophical implications of these emerging models. (shrink)

Implicit cognition is cognition that happens automatically and (typically) non-consciously. In moral psychology, implicit cognition is almost always understood in terms of dual process models of moral judgment. In this chapter, we address the question whether implicit moral judgment is usefully cashed out in terms of automatic (“type 1”) processes, and what the limitations of this approach are. Our chapter has six sections. In (1), we provide a brief overview of dual process models of domain-general (moral and non-moral) cognition. (2) (...) reviews a recent debate regarding the soundness of dual process models to begin with. Section (3) is about dual process accounts of moral judgment specifically. The last three sections then survey attempts to go beyond a simplistic automatic/controlled (“type 2”) distinction in conceptualizing implicit moral cognition. Recently, three main theoretical approaches have emerged, which all revolve around the questions whether type 2 processing can successfully penetrate implicit moral cognition. First, rational learning approaches highlight how episodes of moral learning can feed back into and shape our moral intuitions (4). Second, so-called triple process models suggest that automatic cognitive outputs can under certain circumstances be reined in by reflective cognition (5). Finally, recent evidence shows that moral reasoning is not as impotent as earlier developments in empirical moral psychology claimed to demonstrate (6). (shrink)

This chapter examines three recent empirical approaches to the study of moral motivation: moral foundations theory, deep pragmatism, and morality-as-cooperation. All three approaches conceptualize moral motivation as a suite of desires, emotions, sentiments, dispositions, values, and relationships that move people to think, judge, and act in accordance with morality. Moral foundations theory posits five or six basic foundations: care, fairness, loyalty, authority, sanctity, and sometimes liberty. People are thought to be emotionally attuned to each foundation, though some are more sensitive (...) to certain foundations than to others. Deep pragmatism posits that people tend to be motivated not only to promote their own narrow self interest but also the interests of their group. This can be seen as a sort of proto-morality, which has the capacity to develop into full-blown morality as one begins to conceive of one’s group in ever-broader terms. Finally, morality-as-cooperation is grounded in game theory and posits that cooperative solutions to non-zero-sum games are morally good, and that being motivated to seek out and implement such solutions is what it means to be morally motivated. Empirical evidence gathered in the last decade supports the morality-as-cooperation hypothesis, though more work is needed to further elaborate it and test its predictions. (shrink)

What credence should we assign to philosophical claims that were formed without any knowledge of the current state of the art of the philosophical debate and little or no knowledge of the relevant empirical or scientific data? Very little or none. Yet when we engage with the history of philosophy, this is often exactly what we do. In this paper, I argue that studying the history of philosophy is philosophically unhelpful. The epistemic aims of philosophy, if there are any, are (...) frustrated by engaging with the history of philosophy, because we have little reason to think that the claims made by history’s great philosophers would survive closer scrutiny today. First, I review the case for philosophical historiography and show how it falls short. I then present several arguments for skepticism about the philosophical value of engaging with the history of philosophy and offer an explanation for why philosophical historiography would seem to make sense even if it didn’t. (shrink)

In this paper, I argue that recent evidence regarding the psychological basis of moral cognition supports a form of (moderate) moral abolitionism. I identify three main problems undermining the epistemic quality of our moral judgments – contamination, reliability, and bad incentives – and reject three possible responses: neither moral expertise, nor moral learning, nor the possibility of moral progress succeed in solving the aforementioned epistemic problems. The result is a moderate form of moral abolitionism, according to which we should make (...) fewer moral judgments much more carefully. (shrink)

It is an old and venerable idea in philosophy that morality is built into us, and this nativist view has seen a resurgence of late. Indeed, the prevailing systematic account of how we acquire complex moral representations is a nativist view inspired by arguments in Chomskyan linguistics. In this article, I review the leading argument for moral nativism – the poverty of the moral stimulus. I defend a systematic empiricist alternative that draws on the resources of statistical learning. Such an (...) empiricist account, I argue, promises to explain much of the complexity of people’s moral and other normative attitudes. (shrink)

Do you know you are not being massively deceived by an evil demon? That is a familiar skeptical challenge. Less familiar is this question: How do you have a conception of knowledge on which the evil demon constitutes a prima facie challenge? Recently several philosophers have suggested that our responses to skeptical scenarios can be explained in terms of heuristics and biases. We offer an alternative explanation, based in learning theory. We argue that, given the evidence available to the learner, (...) it would be rational for the learner to infer an infallibilist conception of knowledge. (shrink)

In response, I elaborate on my conception of moral reasoning, as well as clarify the structure of debunking arguments and how my cautious optimism is only of the “glass half full” sort. I also explain how rationalism can capture insights purportedly only explained by sentimentalist and Humean views. The reply concludes by clarifying and admitting some limits of the book's scope.

A Bayesian mind is, at its core, a rational mind. Bayesianism is thus well-suited to predict and explain mental processes that best exemplify our ability to be rational. However, evidence from belief acquisition and change appears to show that we do not acquire and update information in a Bayesian way. Instead, the principles of belief acquisition and updating seem grounded in maintaining a psychological immune system rather than in approximating a Bayesian processor.

In light of recent empirical data, many psychologists and philosophers have turned away from rationalism about moral judgment and embraced sentimentalism. In the process, they have rejected the classical “moral signature” as a way of distinguishing moral from conventional norms in favor of a sentimentalist approach to carving out the moral domain. In this paper, we argue that this sentimentalist turn has been made prematurely. Although we agree that the experiments reveal that the classical approach is flawed, we propose to (...) replace it with an alternative, according to which a norm is moral precisely if it is justifiable to all. This does not hold for most norms based on disgust or loyalty to a particular community. We accommodate the fact that such norms are not merely conventional by introducing a third domain, the domain of ethics. Our proposal reveals that (psychological) rationalism is still a viable option, as a lot of the experimental evidence that features emotions concerns the domain of ethics rather than morality. (shrink)

Research in experimental philosophy has increasingly been turning to corpus methods to produce evidence for empirical claims, as they open up new possibilities for testing linguistic claims or studying concepts across time and cultures. The present article reviews the quasi-experimental studies that have been done using textual data from corpora in philosophy, with an eye for the modeling and experimental design that enable statistical inference. I find that most studies forego comparisons that could control for confounds, and that only a (...) little less than half employ statistical testing methods to control for chance results. Furthermore, at least some researchers make modeling decisions that either do not take into account the nature of corpora and of the word-concept relationship, or undermine the experiment's capacity to answer research questions. I suggest that corpus methods could both provide more powerful evidence and gain more mainstream acceptance by improving their modeling practices. (shrink)

Communication and cultivation accounts of responsibility argue that blaming has an important communicative and agency-cultivating function when addressed at someone we consider to be deserving of blame. On these accounts, responsible agents are agents who can understand negative reactive attitudes and are sensitive to their moral-agency cultivating function. In this paper I examine our reproachful engagements with agents whose moral agency is underdeveloped or compromised. I discuss how these engagements compare to blaming on CC accounts and argue reproachful engagements can (...) have an important communicative and agency-cultivating pointe. I then go on to propose an addition to CC-accounts that explains how underdeveloped and compromised agents can be held responsible. I will show how this addition resolves ambiguities in accounts from McKenna, Vargas and McGeer. I conclude the paper by anticipating an objection CC accounts could raise: that reproach and blame are co-extensive. (shrink)

Recent work in folk metaethics finds a correlation between perceived consensus about a moral claim and meta-ethical judgments about whether the claim is universally or only relatively true. We argue that consensus can provide evidence for meta-normative claims, such as whether a claim is universally true. We then report several experiments indicating that people use consensus to make inferences about whether a claim is universally true. This suggests that people's beliefs about relativism and universalism are partly guided by evidence-based reasoning. (...) In a final study, we show that the rejection of universalism does not generate a simple subjectivism but is associated with a more moderate relativism on which highly atypical positions are regarded as mistaken. (shrink)

Dual-systems frameworks propose that moral judgments are derived from both an immediate emotional response, and controlled/rational cognition. Recently Cushman (2013) proposed a new dual-system theory based on model-free and model-based reinforcement learning. Model-free learning attaches values to actions based on their history of reward and punishment, and explains some deontological, non-utilitarian judgments. Model-based learning involves the construction of a causal model of the world and allows for far-sighted planning; this form of learning fits well with utilitarian considerations that seek to (...) maximize certain kinds of outcomes. I present three concerns regarding the use of model-free reinforcement learning to explain deontological moral judgment. First, many actions that humans find aversive from model-free learning are not judged to be morally wrong. Moral judgment must require something in addition to model-free learning. Second, there is a dearth of evidence for central predictions of the reinforcement account—e.g., that people with different reinforcement histories will, all else equal, make different moral judgments. Finally, to account for the effect of intention within the framework requires certain assumptions which lack support. These challenges are reasonable foci for future empirical/theoretical work on the model-free/model-based framework. (shrink)