I investigate whether degreed beliefs are able to play the predictive, explanatory, and modeling roles that they are frequently taken to play. The investigation focuses on evidence—both from sources familiar in epistemology as well as recent work in behavioral economics and cognitive psychology—of variability in agents' apparent degrees of belief. Although such variability has been noticed before, there has been little philosophical discussion of its breadth or of the psychological mechanisms underlying it. Once these are appreciated, the inadequacy of degrees (...) of belief becomes clear. I offer a theoretical alternative to degrees of belief, what I call the filter theory. (shrink)

Cass Sunstein and Richard Thaler have been arguing for what they named libertarian paternalism (henceforth LP). Their proposal generated extensive debate as to how and whether LP might lead down a full-blown paternalistic slippery slope. LP has the indubitable merit of having hardwired the best of the empirical psychological and sociological evidence into public and private policy making. It is unclear, though, to what extent the implementation of policies so constructed could enhance the capability for the exercise of an autonomous (...) citizenship. Sunstein and Thaler submit it that in most of the cases in which one is confronted with a set of choices, some default option must be picked out. In those cases whoever devises the features of the set of options ought to rank them according to the moral principle of non-maleficence and possibly to that of beneficence. In this paper we argue that LP can be better implemented if there is a preliminary deliberative debate among the stakeholders that elicits their preferences, and makes it possible to rationally defend them. (shrink)

The linguistic and cognitive sciences have severely underestimated the degree of linguistic diversity in the world. Part of the reason for this is that we have projected assumptions based on English and familiar languages onto the rest. We focus on some distortions this has introduced, especially in the study of semantics.

Behavioral scientists routinely publish broad claims about human psychology and behavior in the world's top journals based on samples drawn entirely from Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies. Researchers – often implicitly – assume that either there is little variation across human populations, or that these “standard subjects” are as representative of the species as any other population. Are these assumptions justified? Here, our review of the comparative database from across the behavioral sciences suggests both that there is (...) substantial variability in experimental results across populations and that WEIRD subjects are particularly unusual compared with the rest of the species – frequent outliers. The domains reviewed include visual perception, fairness, cooperation, spatial reasoning, categorization and inferential induction, moral reasoning, reasoning styles, self-concepts and related motivations, and the heritability of IQ. The findings suggest that members of WEIRD societies, including young children, are among the least representative populations one could find for generalizing about humans. Many of these findings involve domains that are associated with fundamental aspects of psychology, motivation, and behavior – hence, there are no obviousa priorigrounds for claiming that a particular behavioral phenomenon is universal based on sampling from a single subpopulation. Overall, these empirical patterns suggests that we need to be less cavalier in addressing questions ofhumannature on the basis of data drawn from this particularly thin, and rather unusual, slice of humanity. We close by proposing ways to structurally re-organize the behavioral sciences to best tackle these challenges. (shrink)

Normative theories can be useful in developing descriptive theories, as when normative subjective expected utility theory is used to develop descriptive rational choice theory and behavioral game theory. “Ought” questions are also the essence of theories of moral reasoning, a domain of higher mental processing that could not survive without normative considerations.

En este artículo me ocupo de la cuestión de cómo en las teorías de proceso dual se puede dar cuenta del autoengaño y su conexión con la racionalidad. Presento las versiones intencionalista y no intencionalista del autoengaño y muestro cómo el debate entre ellas puede dirimirse de manera más completa y satisfactoria en el marco de una teoría dual. En éste suelen aceptarse dos sistemas de razonamiento, uno heurístico y otro analítico, que compiten por el control de nuestras inferencias y (...) acciones, pero a veces interactúan y colaboran entre sí. Se defiende que si predomina la respuesta de S1, se puede ver el patrón del autoengaño como una forma de razonamiento heurístico y no únicamente como un vínculo causal. Se sugiere que las evaluaciones en cuanto a la racionalidad del proceso del autoengaño, dependerá del modo en que intervenga en el patrón de razonamiento y del sistema desde el cual se lleve a cabo. In this paper I discuss the phenomenon of self-deception and its connection with the notion of rationality linked to the dual process theories. I present the intentionalist and nonintentionalist accounts of self-deception and aim to show how the debate between them can be resolved in a more comprehensive and satisfactory manner, if it is placed in the frame of the dual process theories. The dual model usually accepts two kinds of reasoning processes, heuristic and analytic, referred to two different systems, S1 and S2. These processes compete for control of our inferences and actions, but sometimes they interact and collaborate. It is suggested that in a dual model, the evaluations in terms of the rationality of the process will depend on the way in which self-deception participates in the reasoning process and on the system from which the evaluation takes place. (shrink)

Practical wisdom (hereafter simply “wisdom”) is the intellectual virtue that enables a person to make reliably good decisions about how, all-things-considered, to live and conduct herself. Because wisdom is such an important and high-level achievement, we should wonder: what is the nature of wisdom? What kinds of skills, habits and capacities does it involve? Can real people actually develop it? If so, how? I argue that we can answer these questions by modeling wisdom on expert decision-making skill in complex areas (...) like firefighting. I develop this expert skill model of wisdom using philosophical argument informed by relevant empirical research. I begin in Chapter 1 by examining the historical roots of analogies between wisdom and practical skills in order to motivate the expert skill model. In Chapter 2, I provide the core argument for the expert skill model. I then use the remaining chapters to pull out the implications of the expert skill model. In Chapter 3, I show that the expert skill model yields practical guidance about how to develop wisdom. In Chapter 4, I address the objection, due to Daniel Jacobson, that wisdom is not a skill that humans could actually develop, since skill development requires a kind of feedback in practice that is not available for all-things-considered decisions about how to live. Finally, in Chapter 5, I apply the expert skill model to the question, much discussed by virtue ethicists, of whether a wise person deliberates using a comprehensive and systematic conception of the good life. (shrink)

Many theories about the teaching of logic and critical thinking take for granted that theoretical learning, the learning of formal rules for example, and its practical application are sufficient to master the tools taught and to take the habit of using them. However, this way of teaching is not efficient, a conclusion supported by much work in cognitive science. Approaching cognition evolutionarily with dual-process theories allows for an explanation of these insufficiencies and offers clues on how we could teach critical (...) thinking and logic more efficiently. In this article, we want to present this approach and explore these leads in order to make some pedagogical recommendations and lay the foundations of a framework. We will put forward an example of the application of this research program with philosophy for children. (shrink)

How should we determine the distribution of psychological traits—such as Theory of Mind, episodic memory, and metacognition—throughout the Animal kingdom? Researchers have long worried about the distorting effects of anthropomorphic bias on this comparative project. A purported corrective against this bias was offered as a cornerstone of comparative psychology by C. Lloyd Morgan in his famous “Canon”. Also dangerous, however, is a distinct bias that loads the deck against animal mentality: our tendency to tie the competence criteria for cognitive capacities (...) to an exaggerated sense of typical human performance. I dub this error “anthropofabulation”, since it combines anthropocentrism with confabulation about our own prowess. Anthropofabulation has long distorted the debate about animal minds, but it is a bias that has been little discussed and against which the Canon provides no protection. Luckily, there is a venerable corrective against anthropofabulation: a principle offered long ago by David Hume, which I call “Hume’s Dictum”. In this paper, I argue that Hume’s Dictum deserves a privileged place next to Morgan’s Canon in the methodology of comparative psychology, illustrating my point through a discussion of the debate over Theory of Mind in nonhuman animals. (shrink)

In this paper I am concerned with the question of whether degrees of belief can figure in reasoning processes that are executed by humans. It is generally accepted that outright beliefs and intentions can be part of reasoning processes, but the role of degrees of belief remains unclear. The literature on subjective Bayesianism, which seems to be the natural place to look for discussions of the role of degrees of belief in reasoning, does not address the question of whether degrees (...) of belief play a role in real agents’ reasoning processes. On the other hand, the philosophical literature on reasoning, which relies much less heavily on idealizing assumptions about reasoners than Bayesianism, is almost exclusively concerned with outright belief. One possible explanation for why no philosopher has yet developed an account of reasoning with degrees of belief is that reasoning with degrees of belief is not possible for humans. In this paper, I will consider three arguments for this claim. I will show why these arguments are flawed, and conclude that, at least as far as these arguments are concerned, it seems like there is no good reason why the topic of reasoning with degrees of belief has received so little attention. (shrink)

Models in decision theory and game theory assume that preferences are determinate: for any pair of possible outcomes, a and b, an agent either prefers a to b, prefers b to a, or is indifferent as between a and b. Preferences are also assumed to be stable: provided the agent is fully informed, trivial situational influences will not shift the order of her preferences. Research by behavioral economists suggests, however, that economic and hedonic preferences are to some degree indeterminate and (...) unstable, which in turn suggests that other sorts of preferences may suffer the same problem. Even fully informed agents do not always determinately prefer a to b, prefer b to a, or feel indifferent as between a and b. Seemingly trivial situational influences rearrange the order of their preferences. One could respond that decision theory and game theory are not meant to describe actual behavior, and that they instead adumbrate an ideal of rationality from which human action diverges in various ways. When the divergences are small and systematic, they help us identify the heuristics that conspire to help people approximate rationality. One such heuristic, dubbed the Wilde heuristic, is explored. However, the divergences documented by behavioral economists threaten to be too large to handle through idealization. The Rum Tum Tugger Model, in which indifference is intransitive, is spelled out as one promising way for decision and game theory to retrench. Preferences may be locally unstable and indeterminate, but when the differences between options are sufficiently large, they approximate stability and determinacy. (shrink)

Political philosophers have been concerned for some time with the epistemic caliber of the general public, qua the body that is, ultimately, tasked with political decision-making in democratic societies. Unfortunately, the empirical data paints a pretty dismal picture here, indicating that the public tends to be largely ignorant on the issues relevant to governance. To make matters worse, social psychological research on how ignorance tends to breed overconfidence gives us reason to believe that the public will not only lack knowledge (...) on the relevant issues, but also wisdom, in the Socratic sense of an awareness of your ignorance. It might be thought that an obvious remedy would be to increase the knowledge and wisdom of the public. However, as far as sound political decision-making and action is concerned, there is nothing particularly valuable about knowledge or wisdom per se—irrespective of what account of wisdom available in the literature we opt for. In fact, it might just be that what the public needs is nothing but the most basic epistemic good: true belief. (shrink)

One of the major conflicts in the social sciences since the Second World War has concerned whether, and to what extent, human beings have a nature. One view, traditionally associated with the political left, has rejected the notion that we have a contentful nature, and hoped thereby to underwrite the possibility that we can shape social institutions by references only to norms of justice, rather than our innate dispositions. This view has been in rapid retreat over the past three decades, (...) in the face of an onslaught from several different strands of psychology purporting to show that human nature has a content. In this paper, I argue for a third view: that human beings have a contentful nature, but that nature is uniquely flexible and therefore places relatively few constraints on the shape of our social institutions. Human beings are shaped, by nature, to be cultural animals. We are innately disposed to imitate the behavior of those around us, to a far greater degree than other animals: this disposition toward overimitation allows us to construct local traditions of behavior and thereby to adapt to an enormous variety of environments. These facts, in turn, ensure that human populations live embedded in local forms of life; thus our nature entails that we are deeply cultural animals. (shrink)

There are roughly two philosophical literatures on “happiness,” each corresponding to a different sense of the term. One uses ‘happiness’ as a value term, roughly synonymous with well-being or flourishing. The other body of work uses the word as a purely descriptive psychological term, akin to ‘depression’ or ‘tranquility’. An important project in the philosophy of happiness is simply getting clear on what various writers are talking about: what are the important meanings of the term and how do they connect? (...) While the “well-being” sense of happiness receives significant attention in the contemporary literature on well-being, the psychological notion is undergoing a revival as a major focus of philosophical inquiry, following on recent developments in the science of happiness. This entry focuses on the psychological sense of happiness (for the well-being notion, see the entry on well-being). The main accounts of happiness in this sense are hedonism, the life satisfaction theory, and the emotional state theory. Leaving verbal questions behind, we find that happiness in the psychological sense has always been an important concern of philosophers. Yet the significance of happiness for a good life has been hotly disputed in recent decades. Further questions of contemporary interest concern the relation between the philosophy and science of happiness, as well as the role of happiness in social and political decision-making. (shrink)

Every time we act in an effort to attain our epistemic goals, we express our epistemic agency. The present study argues that a proper understanding of the actions and goals relevant to expressions of such agency can be used to make ameliorative recommendations about how the ways in which we actually express our agency can be brought in line with how we should express our agency. More specifically, it is argued that the actions relevant to such expressions should be identified (...) with the variety of actions characteristic of inquiry; that contrary to what has been maintained by recent pluralists about epistemic value, the only goal relevant to inquiry is that of forming true belief; and that our dual tendency for bias and overconfidence gives us reason to implement epistemically paternalistic practices that constrain our freedom to exercise agency in substantial ways. In other words, when it comes to our freedom to express epistemic agency, more is not always better. In fact, less is often so much more. (shrink)

It is commonly held that our intuitive judgements about imaginary problem cases are justified a priori, if and when they are justified at all. In this paper I defend this view — ‘rationalism’ — against a recent objection by Timothy Williamson. I argue that his objection fails on multiple grounds, but the reasons why it fails are instructive. Williamson argues from a claim about the semantics of intuitive judgements, to a claim about their psychological underpinnings, to the denial of rationalism. (...) I argue that the psychological claim — that a capacity for mental simulation explains our intuitive judgements — does not, even if true, provide reasons to reject rationalism. (More generally, a simulation hypothesis, about any category of judgements, is very limited in its epistemological implications: it is pitched at a level of explanation that is insensitive to central epistemic distinctions.) I also argue that Williamson’s semantic claim — that intuitive judgements are judgements of counterfactuals — is mistaken; rather, I propose, they are a certain kind of metaphysical possibility judgement. Several other competing proposals are also examined and criticized. (shrink)

Human cognition requires coping with a complex and uncertain world. This suggests that dealing with uncertainty may be the central challenge for human reasoning. In Bayesian Rationality we argue that probability theory, the calculus of uncertainty, is the right framework in which to understand everyday reasoning. We also argue that probability theory explains behavior, even on experimental tasks that have been designed to probe people's logical reasoning abilities. Most commentators agree on the centrality of uncertainty; some suggest that there is (...) a residual role for logic in understanding reasoning; and others put forward alternative formalisms for uncertain reasoning, or raise specific technical, methodological, or empirical challenges. In responding to these points, we aim to clarify the scope and limits of probability and logic in cognitive science; explore the meaning of the explanation of cognition; and re-evaluate the empirical case for Bayesian rationality. (shrink)

Severity of Test (SoT) is an alternative to Popper's logical falsification that solves a number of problems of the logical view. It was presented by Popper himself in 1963. SoT is a less sophisticated probabilistic model of hypothesis testing than Oaksford & Chater's (O&C's) information gain model, but it has a number of striking similarities. Moreover, it captures the intuition of everyday hypothesis testing.

The terms nested sets, partitive frequencies, inside-outside view, and dual processes add little but confusion to our original analysis (Gigerenzer & Hoffrage 1995; 1999). The idea of nested set was introduced because of an oversight; it simply rephrases two of our equations. Representation in terms of chances, in contrast, is a novel contribution yet consistent with our computational analysis System 1.dual process theory” is: Unless the two processes are defined, this distinction can account post hoc for almost everything. In contrast, (...) an ecological view of cognition helps to explain how insight is elicited from the outside (the external representation of information) and, more generally, how cognitive strategies match with environmental structures. (shrink)

The phenomenon of base-rate neglect has elicited much debate. One arena of debate concerns how people make judgments under conditions of uncertainty. Another more controversial arena concerns human rationality. In this target article, we attempt to unpack the perspectives in the literature on both kinds of issues and evaluate their ability to explain existing data and their conceptual coherence. From this evaluation we conclude that the best account of the data should be framed in terms of a dual-process model of (...) judgment, which attributes base-rate neglect to associative judgment strategies that fail to adequately represent the set structure of the problem. Base-rate neglect is reduced when problems are presented in a format that affords accurate representation in terms of nested sets of individuals. (shrink)

‘Intentionalist’ approaches portray self-deceivers as “akratic believers”, subjects who deliberately choose to believe p despite knowing that p is false. In this paper I argue that the intentionalist model leads to a number of paradoxes that seem to undermine it. I claim that these paradoxes can nevertheless be overcome in light of the rival hypothesis that self-deception is a non-intentional process that stems from the influence of emotions upon cognitive processes. Furthermore, I propose a motivational interpretation of the phenomenon of (...) ‘hyperbolic discounting bias’ which highlights the role of emotional biases in akratic behavior. Finally, I argue that we are not the helpless victims of our irrational attitudes, insofar as we have the ability – and arguably the epistemic obligation – to counteract motivational biases. (shrink)

What is the relation between coherence and truth? This paper rejects numerous answers to this question, including the following: truth is coherence; coherence is irrelevant to truth; coherence always leads to truth; coherence leads to probability, which leads to truth. I will argue that coherence of the right kind leads to at least approximate truth. The right kind is explanatory coherence, where explanation consists in describing mechanisms. We can judge that a scientific theory is progressively approximating the truth if it (...) is increasing its explanatory coherence in two key respects: broadening by explaining more phenomena and deepening by investigating layers of mechanisms. I sketch an explanation of why deepening is a good epistemic strategy and discuss the prospect of deepening knowledge in the social sciences and everyday life. (shrink)

It is a commonplace that contemplation of an imaginary particular may have cognitive and motivational effects that differ from those evoked by an abstract description of an otherwise similar state of affairs. In his Treatise on Human Nature, Hume ([1739] 1978) writes forcefully of this.

The approach to generative grammar originating with Chomsky (1957) has been enormously successful within linguistics. Seeing such success, one wonders whether a similar approach might help us understand other human domains besides language. One such domain is morality. Could there be universal generative moral grammar? More specifically, might it be useful to moral theory to develop an explicit generative account of parts of particular moralities in the way it has proved useful to linguistics to produce generative grammars for parts of (...) particular languages? Should moral theorists attempt to develop a theory of moral universals that is analogous to the theory of universal grammar in linguistics? Can moral theorists develop a “principles and parameters” account of possible moralities inspired by the principles and parameters approach to language in current linguistics? Could there be a “minimalist” program for moral theory inspired by the minimalist program in linguistics? In this chapter we offer a preliminary account of some analogies, focusing on clarifying issues, making distinctions, and considering how—in a general way—such analogies might yield a fruitful research program for moral theory. There are two main parts to our discussion, one focusing on an analogy between generative grammar and moral theory, the other focusing on analogies between universal grammar and theories of moral universals. In the first part, we say a little about the background and say how we are going to understand morality and moral theory. We describe certain aspects of generative grammar and how claims about generative grammars are tested, allowing for a distinction between “competence” and “performance”. We then try to say what a corresponding “generative moral grammar” would be and how it would be tested. We next discuss a number of objections to the analogy between moral theory and generative grammar and indicate possible responses. In the second part, we discuss certain universal constraints on grammars and consider whether there might be similar constraints on moralities. Then we discuss how linguists describe core aspects of languages in terms of principles and parameters and consider what aspects of moralities might be described in similar terms. After that we make some brief remarks about minimalism. (shrink)

The 20 sup > th /sup > century has been a tumultuous time in psychology -- a century in which the discipline struggled with basic questions about its intellectual identity, but nonetheless managed to achieve spectacular growth and maturation. It’s not surprising, then, that psychology has attracted sustained philosophical attention and stimulated rich philosophical debate. Some of this debate was aimed at understanding, and sometimes criticizing, the assumptions, concepts and explanatory strategies prevailing in the psychology of the time. But much (...) philosophical work has also been devoted to exploring the implications of psychological findings and theories for broader philosophical questions like: Are humans really rational animals? How malleable is human nature? and Do we have any innate knowledge or innate ideas? One particularly noteworthy fact about philosophy of psychology in the 20 sup > th /sup > century is that, in the last quarter of the century, the distinction between psychology and the philosophy of psychology began to dissolve as philosophers played an increasingly active role in articulating and testing empirical theories about the mind and psychologists became increasingly interested in the philosophical underpinnings and implications of their work. Our survey is divided into five sections, each focusing on an important theme in 20 sup > th /sup > century psychology which has been the focus of philosophical attention and has benefited from philosophical scrutiny. (shrink)

Can nonhuman animals and artificial intelligence (AI) entities be attributed moral agency? The general assumption in the philosophical literature is that moral agency applies exclusively to humans since they alone possess free will or capacities required for deliberate reflection. Consequently, only humans have been taken to be eligible for ascriptions of moral responsibility in terms of, for instance, blame or praise, moral criticism, or attributions of vice and virtue. Animals and machines may cause harm, but they cannot be appropriately ascribed (...) moral responsibility for their behavior. This thesis challenges the conventional paradigm by proposing an alternative approach where moral agency is conceived as the competence to participate in moral responsibility practices. By shifting focus from intra-individual to contextual and socially situated features, this practice-focused approach appears to make the attribution of moral agency to nonhuman animals and AI entities more plausible than commonly assumed. Moreover, considering the current and potential future prevalence of nonhuman animals and AI entities in everyday settings and social contexts, a potential extension of moral agency to such entities could very well transform our social, moral, and legal practices. Hence, this thesis proposes that the attribution or withholding of moral agency to different entities should be carefully evaluated, considering the potential normative implications. (shrink)

The social epistemology of science would benefit from paying more attention to the nature of argumentative exchanges. Argumentation is not only a cognitive activity but a collaborative social activity whose functioning needs to be understood from a psychological and communicative perspective. Thus far, social and organizational psychology has been used to discuss how social diversity affects group deliberation by changing the mindset of the participants. Argumentative exchanges have comparable effects, but they depend on cognitive diversity and emerge through critical interaction. (...) An example of a cognitive psychological theory is discussed that explains how mutual reasoning affects how we think, make decisions, and solve problems, as well as how cognitive biases may facilitate an efficient division of cognitive labor. These observations are compared with the existing results in the social epistemology of science. Moreover, I explicate the conceptual differences between the distributed and social processing of information. While argumentative exchanges belong to the latter domain, most existing simulations model distributed processing, which may compromise their real-world relevance and proper conceptual interpretation. However, I aim not to criticize the existing simulation methods but to promote an approach from the cognitive psychology of reasoning that complements the current use of organizational psychology and computer simulations by investigating a different set of mechanisms relating to similar phenomena of interest in the social epistemology of science. (shrink)

According to the Rationality Constraint, our concept of belief imposes limits on how much irrationality is compatible with having beliefs at all. We argue that empirical evidence of human irrationality from the psychology of reasoning and the psychopathology of delusion undermines only the most demanding versions of the Rationality Constraint, which require perfect rationality as a condition for having beliefs. The empirical evidence poses no threat to more relaxed versions of the Rationality Constraint, which only require only minimal rationality. Nevertheless, (...) we raise problems for all versions of the Rationality Constraint by appealing to more extreme forms of irrationality that are continuous with actual cases of human irrationality. In particular, we argue that there are conceivable cases of “mad belief” in which populations of Lewisian madmen have beliefs that are not even minimally rational. This undermines Lewis’s claim that our ordinary concept of belief is a theoretical concept that is implicitly defined by its role in folk psychology. We argue that introspection gives us a phenomenal concept of belief that cannot be analyzed by applying Lewis’s semantics for theoretical terms. (shrink)

I argue that bounded agents face a systematic accuracy-coherence tradeoff in cognition. Agents must choose whether to structure their cognition in ways likely to promote coherence or accuracy. I illustrate the accuracy-coherence tradeoff by showing how it arises out of at least two component tradeoffs: a coherence-complexity tradeoff between coherence and cognitive complexity, and a coherence-variety tradeoff between coherence and strategic variety. These tradeoffs give rise to an accuracy-coherence tradeoff because privileging coherence over complexity or strategic variety often leads to (...) a corresponding reduction in accuracy. I conclude with a discussion of two normative consequences for the study of bounded rationality: the importance of procedural rationality and the role of coherence in theories of bounded rationality. (shrink)

Whereas using artificial intelligence (AI) to predict natural hazards is promising, applying a predictive policing algorithm (PPA) to predict human threats to others continues to be debated. Whereas PPAs were reported to be initially successful in Germany and Japan, the killing of Black Americans by police in the US has sparked a call to dismantle AI in law enforcement. However, although PPAs may statistically associate suspects with economically disadvantaged classes and ethnic minorities, the targeted groups they aim to protect are (...) often vulnerable populations as well (e.g., victims of human trafficking, kidnapping, domestic violence, or drug abuse). Thus, determining how to enhance the benefits of PPA while reducing bias through better management is important. In this paper, we propose a policy schema to address this issue. First, after clarifying relevant concepts, we examine major criticisms of PPAs and argue that some of them should be addressed. If banning AI or making it taboo is an unrealistic solution, we must learn from our errors to improve AI. We next identify additional challenges of PPAs and offer recommendations from a policy viewpoint. We conclude that the employment of PPAs should be merged into broader governance of the social safety net and audited publicly by parliament and civic society so that the unjust social structure that breeds bias can be revised. (shrink)

I argue that evidentialism should be rejected because it cannot be reconciled with empirical work on bias in cognitive and social psychology.

The Shape of Agency offers interlinked explanations of the basic building blocks of agency, as well as its exemplary instances. The first part offers accounts of a collection of related phenomena that have long troubled philosophers of action: control over behaviour, non-deviant causation, and intentional action. These accounts build on earlier work in the causalist tradition, and undermine the claims made by many that causalism cannot offer a satisfying account of non-deviant causation, and therefore fails as an account of intentional (...) action. The second part turns to modes of agentive excellence—ways that agents display quality of form—providing a novel account of skill, including an account of the ways that agents display more or less skill. Shepherd discusses the role of knowledge in skill, and concludes that while knowledge is often important, it is inessential. This leads to a discussion of the way that knowledge of action and knowledge of how to act informs action execution. Knowledgeable action includes a unique epistemic underpinning: in knowledgeable action, the agent has authoritative knowledge of what she is doing and how she is doing it when and because she is poised to control her action by way of practical reasoning. (shrink)

Emotions are often met with suspicion in political debates about risky technologies, because they are seen as contrary to rational decision making. However, recent emotion research rejects such a dichotomous view of reason and emotion, by seeing emotions as an important source of moral insight. Moral emotions such as compassion and feelings of responsibility and justice can play an important role in judging ethical aspects of technological risks, such as justice, fairness, and autonomy. This article discusses how this idea can (...) be integrated into approaches for political decision making about risk. The article starts with an analysis of the dichotomous view of reason and emotion in risk theory, in approaches to participatory risk assessment as well as in relevant approaches to political philosophy. This article then presents alternative approaches in political philosophy and political theory that do explicitly endorse the importance of emotions. Based on these insights, a procedural approach for policy making is presented, in which emotional responses to technological risks, and the ethical concerns that lie behind them, are taken seriously. This approach allows for morally better political decisions about risky technologies and a better understanding between experts and laypeople. (shrink)

In this dissertation, I construct scientifically and practically adequate moral analogs of cognitive heuristics and biases. Cognitive heuristics are reasoning “shortcuts” that are efficient but flawed. Such flaws yield systematic judgment errors—i.e., cognitive biases. For example, the availability heuristic infers an event’s probability by seeing how easy it is to recall similar events. Since dramatic events, such as airplane crashes, are disproportionately easy to recall, this heuristic explains systematic overestimations of their probability (availability bias). The research program on cognitive heuristics (...) and biases (e.g., Daniel Kahneman’s work) has been scientifically successful and has yielded useful error-prevention techniques—i.e., cognitive debiasing. I attempt to apply this framework to moral reasoning to yield moral heuristics and biases. For instance, a moral bias of unjustified differences in the treatment of particular animal species might be partially explained by a moral heuristic that dubiously infers animals’ moral status from their aesthetic features. While the basis for identifying judgments as cognitive errors is often unassailable (e.g., per violating laws of logic), identifying moral errors seemingly requires appealing to moral truth, which, I argue, is problematic within science. Such appeals can be avoided by repackaging moral theories as mere “standards-of-interest” (a la non-normative metrics of purportedly right-making features/properties). However, standards-of-interest do not provide authority, which is needed for effective debiasing. Nevertheless, since each person deems their own subjective morality authoritative, subjective morality (qua standard-of-interest and not moral subjectivism) satisfies both scientific and practical concerns. As such, (idealized) subjective morality grounds a moral analog of cognitive biases—namely, subjective moral biases (e.g., committed anti-racists unconsciously discriminating). I also argue that "cognitive heuristic" is defined by its contrast with rationality. Consequently, heuristics explain biases, which are also so defined. However, such contrasting with rationality is causally irrelevant to cognition. This frustrates the presumed usefulness of the kind, heuristic, in causal explanation. As such, in the moral case, I jettison the role of causal explanation and tailor categories solely for contrastive explanation. As such, “moral heuristic” is replaced with "subjective moral fallacy," which is defined by its contrast with subjective morality and explains subjective moral biases. The resultant subjective moral biases and fallacies framework can undergird future empirical research. (shrink)

Artificial moral agents raise complex ethical questions both in terms of the potential decisions they may make as well as the inputs that create their cognitive architecture. There are multiple differences between human and artificial cognition which create potential barriers for artificial moral agency, at least as understood anthropocentrically and it is unclear that artificial moral agents should emulate human cognition and decision-making. It is conceptually possible for artificial moral agency to emerge that reflects alternative ethical methodologies without creating ontological (...) challenges or existential crises for human moral agents. (shrink)

Resource rationality may explain suboptimal patterns of reasoning; but what of “anti-Bayesian” effects where the mind updates in a direction opposite the one it should? We present two phenomena — belief polarization and the size-weight illusion — that are not obviously explained by performance- or resource-based constraints, nor by the authors’ brief discussion of reference repulsion. Can resource rationality accommodate them?

Current psychology of human reasoning is divided into several different approaches. For instance, there is a major dispute over the question whether human beings are able to apply norms of the formal models of rationality such as rules of logic, or probability and decision theory, correctly. While researchers following the “heuristics and biases” approach argue that we deviate systematically from these norms, and so are perhaps deeply irrational, defenders of the “bounded rationality” approach think not only that the evidence for (...) this conclusion is problematic but also that we should not, at least not very often, use formal norms in reasoning. I argue that while the evidence for heuristics and biases is indeed questionable, the bounded rationality approach has its limits too. Most especially, we should not infer that formal norms play no role in a comprehensive theory of rationality. Instead, formal and bounded rules of reasoning might even be connected in a more comprehensive theory of rationality. (shrink)

According to cognitive psychologists, moral decision-making is a dual-process phenomenon involving two types of cognitive processes: explicit reasoning and implicit intuition. Moral development involves training and integrating both types of cognitive processes through a mix of instruction, practice, and reflection. Serious games are an ideal platform for this kind of moral training, as they provide safe spaces for exploring difficult moral problems and practicing the skills necessary to resolve them. In this article, we present Morality Play, a model for the (...) design of serious games for ethical expertise development based on the Integrative Ethical Education framework from moral psychology and the Lens of the Toy model for serious game design. (shrink)

This paper is a warning that objections based on thought experiments can be misleading because they may elicit judgments that, unbeknownst to the judger, have been seriously skewed by psychological biases. The fact that most people choose not to plug in to the Experience Machine in Nozick’s (1974) famous thought experiment has long been used as a knock-down objection to hedonism because it is widely thought to show that real experiences are more important to us than pleasurable experiences. This paper (...) argues that the commonplace choice to remain in reality when offered a life in the Experience Machine is best explained by status quo bias – the irrational preference for things to remain the same. An alternative thought experiment, empirical evidence, and discussion of how psychological biases can affect our judgments are provided to support this argument. (shrink)

Policymakers and institutions have developed an increasing interest in applying principles from cognitive science to encourage individuals to adopt behaviors, attitudes and perspectives that enable them to reach higher levels of personal and collective well-being. We focused on the value of nudging people to adopt a broader farsighted view when making their day-to-day decisions, overcoming the temporal discounting bias which leads them to prefer smaller immediate gains to larger future rewards. Following recent advances in the literature, we tried to mitigate (...) this myopia promoting the connection that individuals feel between their present and future selves through a nudge which capitalizes on their natural tendency to illusory superiority. We defined and tested a paradigm to exploit persuasively this optimistic bias to mitigate temporal discounting through the mediation of an increased future self-continuity. Implications for well-being and public policies are discussed. (shrink)

The domain of “folk-economics” consists in explicit beliefs about the economy held by laypeople, untrained in economics, about such topics as, for example, the causes of the wealth of nations, the benefits or drawbacks of markets and international trade, the effects of regulation, the origins of inequality, the connection between work and wages, the economic consequences of immigration, or the possible causes of unemployment. These beliefs are crucial in forming people's political beliefs and in shaping their reception of different policies. (...) Yet, they often conflict with elementary principles of economic theory and are often described as the consequences of ignorance, irrationality, or specific biases. As we will argue, these past perspectives fail to predict the particular contents of popular folk-economic beliefs and, as a result, there is no systematic study of the cognitive factors involved in their emergence and cultural success. Here we propose that the cultural success of particular beliefs about the economy is predictable if we consider the influence of specialized, largely automatic inference systems that evolved as adaptations to ancestral human small-scale sociality. These systems, for which there is independent evidence, include free-rider detection, fairness-based partner choice, ownership intuitions, coalitional psychology, and more. Information about modern mass-market conditions activates these specific inference systems, resulting in particular intuitions, for example, that impersonal transactions are dangerous or that international trade is a zero-sum game. These intuitions in turn make specific policy proposals more likely than others to become intuitively compelling, and, as a consequence, exert a crucial influence on political choices. (shrink)

This paper discusses the ecological case for epistemic innocence: does biased cognition have evolutionary benefits, and if so, does that exculpate human reasoners from irrationality? Proponents of ‘ecological rationality’ have challenged the bleak view of human reasoning emerging from research on biases and fallacies. If we approach the human mind as an adaptive toolbox, tailored to the structure of the environment, many alleged biases and fallacies turn out to be artefacts of narrow norms and artificial set-ups. However, we argue that (...) putative demonstrations of ecological rationality involve subtle locus shifts in attributions of rationality, conflating the adaptive rationale of heuristics with our own epistemic credentials. By contrast, other cases also involve an ecological reframing of human reason, but do not involve such problematic locus shifts. We discuss the difference between these cases, bringing clarity to the rationality debate. (shrink)

This dissertation explores the practices of emotion work in the financial services industry as they are constructed in interviews with people employed in different financial organizations. The issues of emotion work in organizations are generally investigated in terms of emotion management, impression formation and negotiation or accomplishment. The previous research has also uncovered that emotions and market moods influence how people make financial decisions under conditions of fundamental uncertainty. In this study, I adopt a critical-interpretive approach and seek to develop (...) an in-depth understanding of organizational practices through which people employed in the financial services industry maintain emotion-reason dualism. This approach allows us to shift the analysis from categorizing what counts as rational versus emotional decision making to examining discourses that constitute claims of preferred rationality and devalue the significance of emotions at work. The transcripts of 23 interviews with 17 people employed in different financial organizations constituted the data for this study. The analysis of the interview discourse shows that emotions are conceptualized as an antipode to rationality, threat, weakness and as a source of stress. On one hand, the strategies of internal emotional control reflect the participants’ desire to take control over their feelings in order to fit into the discourse of preferred rationality. The concept of emotion also shapes the tactics of impression management. The interviewees were consciously aware of which feelings they wanted to display, and how to use emotions in order to build and maintain networks of relationships with different market participants. On the other hand, the simultaneous co-existence of negation and practical utility of feelings at work in the participants’ narratives suggests that meanings associated with preferred rationality and marginalized emotionality fluctuate along the following dimensions: absence-presence, chaos-order/discipline, weakness-power and subjectivity-objectivity. These findings open up a new space to explore the concepts of emotionality and rationality as socially constructed phenomena that are reproduced in the practices of emotion work. The focus on discourse not only offers a communication centered model of rationalized emotion, but also unveils social aspects of financial management. (shrink)

Globalization, with its undisputed benefits, also presents complex moral challenges that business leaders cannot ignore. Some of this moral complexity is attributable to the scope and nature of specific issues like climate change, intellectual property rights, economic inequity, and human rights. More difficult aspects of moral complexity are the structure and dynamics of human moral judgment and the amplified universe of global stakeholders with competing value claims and value systems whose interests must be considered and often included in the decision-making (...) process. While managing moral challenges is considered in management literature to be a legitimate and crucial function of business leadership, the complexity of moral challenges in a globalized business culture stretches the managerial capacities of individuals who rely on a personal moral compass and their own wisdom traditions of philosophy or religion for guidance. The Global Moral Compass introduces an expanded epistemic value framework as an aid to understanding and managing moral complexity in a globalized business culture. (shrink)