In his article “Beyond Point-and-Shoot Morality,” Joshua Greene argues that the empirical findings of cognitive neuroscience have implications for ethics. Specifically, he contends that we ought to trust our manual, conscious reasoning system more than our automatic, emotional system when confronting unfamiliar problems; and because cognitive neuroscience has shown that consequentialist judgments are generated by the manual system and deontological judgments are generated by the automatic system, we ought to trust the former more than the latter when facing unfamiliar moral (...) problems. In the present article, I analyze one of the premises of Greene’s argument. In particular, I ask what exactly an unfamiliar problem is and whether moral problems can be classified as unfamiliar. After exploring several different possible interpretations of familiarity and unfamiliarity, I conclude that the concepts are too problematic to be philosophically compelling, and thus should be abandoned. (shrink)

According to the dual-process account of moral judgment, deontological and utilitarian judgments stem from two different cognitive systems. Deontological judgments are effortless, intuitive and emotion-driven, whereas utilitarian judgments are effortful, reasoned and dispassionate. The most notable evidence for dual-process theory comes from neuroimaging studies by Joshua Greene and colleagues. Greene has suggested that these empirical findings undermine deontology and support utilitarianism. It has been pointed out, however, that the most promising interpretation of his argument does not make use of the (...) empirical findings. In this paper, I engage with recent attempts by Greene to vindicate the moral significance of dual-process theory and the supporting neuroscientific findings. I consider their potential moral significance with regard to three aspects of Greene’s case against deontology: the argument from morally irrelevant factors, the functionalist argument and the argument from confabulation. I conclude that Greene fails to demonstrate how neuroscience and dual-process theory in general can advance moral theorizing. (shrink)

Empirical research into moral decision-making is often taken to have normative implications. For instance, in his recent book, Greene (2013) relies on empirical findings to establish utilitarianism as a superior normative ethical theory. Kantian ethics, and deontological ethics more generally, is a rival view that Greene attacks. At the heart of Greene’s argument against deontology is the claim that deontological moral judgments are the product of certain emotions and not of reason. Deontological ethics is a mere rationalization of these emotions. (...) Accordingly Greene maintains that deontology should be abandoned. This paper is a defense of deontological ethical theory. It argues that Greene’s argument against deontology needs further support. Greene’s empirical evidence is open to alternative interpretations. In particular, it is not clear that Greene’s characterization of alarm-like emotions that are relative to culture and personal experience is empirically tenable. Moreover, it is implausible that such emotions produce specifically deontological judgments. A rival sentimentalist view, according to which all moral judgments are determined by emotion, is at least as plausible given the empirical evidence and independently supported by philosophical theory. I therefore call for an improvement of Greene’s argument. (shrink)

Recent advancements in the brain sciences have enabled researchers to determine, with increasing accuracy, patterns and locations of neural activation associated with various psychological functions. These techniques have revived a longstanding debate regarding the relation between the mind and the brain: while many authors claim that neuroscientific data can be employed to advance theories of higher cognition, others defend the so-called ‘autonomy’ of psychology. Settling this significant issue requires understanding the nature of the bridge laws used at the psycho-neural interface. (...) While these laws have been the topic of extensive discussion, such debates have mostly focused on a particular type of link: reductive laws. Reductive laws are problematic: they face notorious philosophical objections and they are too scarce to substantiate current research at the intersection of psychology and neuroscience. The aim of this article is to provide a systematic analysis of a different kind of bridge laws—associative laws—which play a central, albeit overlooked role in scientific practice. (shrink)

It has long been claimed that moral judgements are dominated by reason. In recent years, however, the tide has turned. Many psychologists and philosophers now hold the view that there is a close empirical association between moral judgements and emotions. In particular, they claim that emotions (1) co-occur with moral judgements, (2) causally influence moral judgements, (3) are causally sufficient for moral judgements, and (4) are causally necessary for moral judgements. At first sight these hypotheses seem well-supported. In this paper (...) I show, however, that appearances are deceiving. If one considers the relevant scientific studies in detail, one finds that in many interpretations the above hypotheses are either not supported or even contradicted by the available evidence. This conclusion is significant both for our understanding of moral judgements qua empirical phenomena and for normative ethics and metaethics. (shrink)

Research on moral judgment is refueling public interest in an old debate concerning the general foundation of morals. Are moral judgments based on reason or on feeling? Recent research in moral psychology and neuroscience concludes that moral judgments occur rapidly, automatically, and largely without the aid of inference. Such findings are utilized to criticize moral theories that require deliberation to precede moral judgment as its cause. The main targets of this criticism are the moral theories of Piaget and Kohlberg, but (...) Kant's moral philosophy is also criticized for this failing. This essay defends Kant from this charge by clarifying the role of deliberation in his moral theory and by demonstrating that, for Kant, moral judgment invokes a self-organizing system that has the capacity to rapidly determine the moral permissibility of any desired purpose - real or imagined. Further support for Kant's moral theory is gleaned from recent work on self-organization in the brain. (shrink)

Reverse inference is the most commonly used inferential strategy for bringing images of brain activation to bear on psychological hypotheses, but its inductive validity has recently been questioned. In this article, I show that, when it is analyzed in likelihoodist terms, reverse inference does not suffer from the problems highlighted in the recent literature, and I defend the appropriateness of treating reverse inference in these terms. 1 Introduction2 Reverse Inference3 Reverse Inference Defended3.1 Typical reverse inferences are fallacious3.2 No quick and (...) easy fix3.3 A likelihoodist defense of reverse inference3.4 An example4 Appropriateness of the Likelihoodist Approach4.1 Likelihoodist reverse inference is not applicable4.2 Cognitive neuroscientists are not interested in comparative conclusions4.3 Reverse inference and negative hypotheses4.4 Likelihoodist reverse inference may confuse cognitive neuroscientists4.5 Bayesian reverse inferences should be preferred to likelihoodist reverse inferences5 Conclusion. (shrink)

Sentimentalism comes in many varieties: explanatory sentimentalism, judgment sentimentalism, metaphysical sentimentalism, and epistemic sentimentalism. This encyclopedia entry gives an overview of the positions and main arguments pro and con.

Provides an overview of empirical research relevant to philosophical questions about moral thought, feeling, reasoning, and motivation. Topics include: free will and moral responsibility, egoism and altruism, moral judgment and motivation, weakness and strength of will, moral intuitions, and moral knowledge. [Originally published in 2012. Updated and expanded in 2017.].

Joshua Greene and his colleagues have proposed a dual-process theory of moral decision-making to account for the effects of emotional responses on our judgments about moral dilemmas that ask us to contemplate causing direct personal harm. Early formulations of the theory contrast emotional and cognitive decision-making, saying that each is the product of a separable neural system. Later formulations emphasize that emotions are also involved in cognitive processing. I argue that, given the acknowledgement that emotions inform cognitive decision-making, a single-process (...) theory can explain all of the data that have been cited as evidence for Greene’s theory. The emotional response to the thought of causing harm may differ in degree, but not in kind, from other emotions influencing moral decision-making. (shrink)

Neuromoral theorists are those who claim that a scientific understanding of moral judgment through the methods of psychology, neuroscience and related disciplines can have normative implications and can be used to improve the human ability to make moral judgments. We consider three neuromoral theories: one suggested by Gazzaniga, one put forward by Gigerenzer, and one developed by Greene. By contrasting these theories we reveal some of the fundamental issues that neuromoral theories in general have to address. One important issue concerns (...) whether the normative claims that neuromoral theorists would like to make are to be understood in moral terms or in non-moral terms. We argue that, on either a moral or a non-moral interpretation of these claims, neuromoral theories face serious problems. Therefore, neither the moral nor the non-moral reading of the normative claims makes them philosophically viable. (shrink)

Neuroethics is typically conceived of as consisting of two traditions: the ethics of neuroscience and the neuroscience of moral judgment. However, recent work has sought to draw philosophical and ethical implications from the neuroscience of moral judgment. Such work, which concernsnormative moral neuroscience(NMN), is sufficiently distinct and complex to deserve recognition as a third tradition of neuroethics. Recognizing it as such can reduce confusion among researchers, eliminating conflations among both critics and proponents of NMN.This article identifies and unpacks some of (...) the most prominent goals, characteristic assumptions, and unique arguments in NMN and addresses some of the strongest objections NMN faces. The paper synthesizes these considerations into a set of heuristics, or loose discovery principles, that can help overcome obstacles in and attenuate resistance to NMN. These heuristics may simultaneously help identify those projects in NMN that are most likely to be fruitful and help fortify them. (shrink)

The paper sketches the historical development from emotion as a mysterious entity and the source of maladaptive behaviour, to emotion as a collection of ingredients and the source of also adaptive behaviour. We argue, however, that the underlying mechanism proposed to take care of this adaptive behaviour is not entirely up for its task. We outline an alternative view that explains so-called emotional behaviour with the same mechanism as non-emotional behaviour, but that is at the same time more likely to (...) produce adaptive behaviour. The phenomena that were initially seen as requiring a separate emotional mechanism to influence and cause behaviour can also be explained by a goal-directed mechanism provided that more goals and other complexities inherent in the goal-directed process are taken into account. (shrink)

Critical reflection on the available neuropsychological evidence suggests that the roles of emotion and reason in moral judgment may not be distinct. This casts significant doubt on our current understanding of moral judgment, and therefore also on all philosophical theories based on that understanding. Most notably, it raises doubts about both sentimentalism and rationalism, which historically have often been treated as exclusive and exhaustive theories regarding the nature of moral concepts. As an alternative, I endorse pluralism with regard to the (...) emotional and rational nature of moral concepts. (shrink)

Current developments in empirical moral psychology have spawned a new perspective on the traditional metaethical question of whether moral judgment is based on reason or emotion. Psychologists and cognitive neuroscientists such as Joshua Greene argue that there is empirical evidence that emotion is essential for one particularly important subclass of moral judgments: so-called ?deontological judgments.? In this paper, I scrutinize this claim and argue that neither the empirical evidence for Greene's dual process-theory of moral judgment nor the normative conclusions it (...) is supposed to yield can be maintained. More specifically, I argue that the evidence from neuroimaging relies on a problematic reverse inference, that the behavioral data are flawed, and that the findings from focal brain damage do not support the model. From a normative point of view, Greene fails to show that we ought to discount the intuitions that give rise to deontological judgments because they respond to morally irrelevant factors: firstly, I show that they do not pick up on the factors Greene deems to be morally irrelevant in the first place, and secondly, I argue that there generally is reason to trust our deontological intuitions. (shrink)

Recent advancements in the brain sciences have enabled researchers to determine, with increasing accuracy, patterns and locations of neural activation associated with various psychological functions. These techniques have revived a longstanding debate regarding the relation between the mind and the brain: while many authors now claim that neuroscientific data can be used to advance our theories of higher cognition, others defend the so-called `autonomy' of psychology. Settling this significant question requires understanding the nature of the bridge laws used at the (...) psycho-neural interface. While these laws have been the topic of extensive discussion, such debates have mostly focused on a particular type of link: reductive laws. Reductive laws are problematic: they face notorious philosophical objections and they are too scarce to substantiate current research at the interface of psychology and neuroscience. The aim of this article is to provide a systematic analysis of a different kind of bridge laws--associative laws--which play a central, albeit often overlooked, role in scientific practice. (shrink)

This article presents and discusses one of the most prominent inferential strategies currently employed in cognitive neuropsychology, namely, reverse inference. Simply put, this is the practice of inferring, in the context of experimental tasks, the engagement of cognitive processes from locations or patterns of neural activation. This technique is notoriously controversial because, critics argue, it presupposes the problematic assumption that neural areas are functionally selective. We proceed as follows. We begin by introducing the basic structure of traditional “location-based” reverse inference (...) and discuss the influential lack of selectivity objection. Next, we rehearse various ways of responding to this challenge and provide some reasons for cautious optimism. The second part of the essay presents a more recent development: “pattern-decoding reverse inference”. This inferential strategy, we maintain, provides an even more convincing response to the lack of selectivity charge. Due to this and other methodological advantages, it is now a prominent component in the toolbox of cognitive neuropsychology. Finally, we conclude by drawing some implications for philosophy of science and philosophy of mind. (shrink)

The interpretation of functional imaging experiments is complicated by the pluripotency of brain regions. As there is a many-to-one mapping between cognitive functions and their neural substrates, region-based analyses of imaging data provide only weak support for cognitive theories. Price and Friston argue that we need a ‘cognitive ontology’ that abstractly categorizes the function of regions. I argue that abstract characterizations are unlikely to be cognitively interesting. I argue instead that we should attribute functions to regions in a context-sensitive manner. (...) I review recent meta-analyses that approach fMRI data in this light and argue that they have revisionary potential. (shrink)