Building artificial moral agents (AMAs) underscores the fragmentary character of presently available models of human ethical behavior. It is a distinctly different enterprise from either the attempt by moral philosophers to illuminate the “ought” of ethics or the research by cognitive scientists directed at revealing the mechanisms that influence moral psychology, and yet it draws on both. Philosophers and cognitive scientists have tended to stress the importance of particular cognitive mechanisms, e.g., reasoning, moral sentiments, heuristics, intuitions, or a moral grammar, (...) in the making of moral decisions. However, assembling a system from the bottom-up which is capable of accommodating moral considerations draws attention to the importance of a much wider array of mechanisms in honing moral intelligence. Moral machines need not emulate human cognitive faculties in order to function satisfactorily in responding to morally significant situations. But working through methods for building AMAs will have a profound effect in deepening an appreciation for the many mechanisms that contribute to a moral acumen, and the manner in which these mechanisms work together. Building AMAs highlights the need for a comprehensive model of how humans arrive at satisfactory moral judgments. (shrink)

Ethical questions have traditionally been approached through conceptual analysis. Inspired by the rapid advance of modern brain imaging techniques, however, some ethical questions appear in a new light. For example, hotly debated trolley dilemmas have recently been studied by psychologists and neuroscientists alike, arguing that their findings can support or debunk moral intuitions that underlie those dilemmas. Resulting from the wedding of philosophy and neuroscience, neuroethics has emerged as a novel interdisciplinary field that aims at drawing conclusive relationships between neuroscientific (...) observations and normative ethics. A major goal of neuroethics is to derive normative ethical conclusions from the investigation of neural and psychological mechanisms underlying ethical theories, as well as moral judgments and intuitions. The focus of this article is to shed light on the structure and functioning of neuroethical arguments of this sort, and to reveal particular methodological challenges that lie concealed therein. We discuss the methodological problem of how one can—or, as the case may be, cannot—validly infer normative conclusions from neuroscientific observations. Moreover, we raise the issue of how preexisting normative ethical convictions threaten to invalidate the interpretation of neuroscientific data, and thus arrive at question-begging conclusions. Nonetheless, this is not to deny that current neuroethics rightly presumes that moral considerations about actual human lives demand empirically substantiated answers. Therefore, in conclusion, we offer some preliminary reflections on how the discussed methodological challenges can be met. (shrink)

With the increasing degrees A.I.s and machines are applied across different social contexts, the need for implementing ethics in A.I.s is pressing. In this paper, we argue for a pluralist hybrid model for the implementation of moral A.I.s. We first survey current approaches to moral A.I.s and their inherent limitations. Then we propose the pluralist hybrid approach and show how these limitations of moral A.I.s can be partly alleviated by the pluralist hybrid approach. The core ethical decision-making capacity of an (...) A.I. based on the pluralist hybrid approach consists of two systems. The first is a deterministic algorithm system that incorporates different moral rules for making explicit moral decisions. The second is a machine learning system that calculates the value of the variables required by the application of moral principles. The pluralist hybrid system is better than the existing proposals as (i) it better addresses the moral disagreement problem of the top-down approach by including different moral principles, while (ii) it reduces the opacity of ethical decision-making compared with a bottom-up system by implementing explicit moral principles for moral decision making. (shrink)

In his book Reveille for Radicals, Saul Alinsky writes, "Most people are eagerly groping for... some way in which they can bridge the gap between their morals and their practices". Today, many consumers try to bridge that gap by participating in what has been termed ethical consumption: the intentional purchase of products and services that the customer considers to be ethically produced. But what happens if consumer perceptions do not match reality? This study investigates one aspect of ethical consumption by (...) examining consumer perceptions of the term cruelty free. Various definitions of this term exist, and companies can use the term when the product or its ingredients were indeed tested on animals. This exploratory study suggests that many consumers use this term as a moral heuristic in decision-making. As a result, the use of the term creates a halo effect that elevates brand perceptions. When provided with information suggesting the heuristic is flawed, consumers slightly alter perceptions but attitudes remain relatively strong. While some countries have implemented regulation regarding the use of the phrase in some contexts, results suggest that a broader policy is necessary to correct misperceptions and avoid misleading consumers. (shrink)

Corporate social responsibility has been intensively discussed in business ethics literature, whereas the social responsibility of private consumers appears to be less researched. However, there is also a growing interest from business ethicists and other scholars in the field of consumer social responsibility. Nevertheless, previous discussions of ConSR reveal the need for a viable conceptual basis for understanding the social responsibility of consumers in an increasingly globalized market economy. Moreover, evolutionary aspects of human morality seem to have been neglected despite (...) the fact that private consumers are undoubtedly human beings. In addition to that, empirical studies suggest that many consumers believe themselves to be responsible but do not act according to their alleged values or attitudes. This raises the question of what deters them from doing so. Therefore, the contribution of this conceptual paper is threefold: we conceptualize ConSR in terms of a combination of a Max Weber-inspired approach with the social connection approach to shared responsibility proposed by Iris Marion Young; shed light on the previously neglected implications of an evolutionarily induced bounded morality for ConSR, and identify potential obstacles to socially responsible consumption, particularly against the backdrop of shared social responsibility and bounded morality. In this latter respect, the paper focuses specifically on the obstacles of low moral intensity, moral stupefaction, informational complexity, and the lack of perceived consumer effectiveness. In sum, the paper advances knowledge in the field of ConSR by using a transdisciplinary, literature-based approach. (shrink)

El objetivo de este trabajo es proponer un concepto de agente crítico que dialogue con una práctica democrática deliberativa, considerando qué significa el acto de dar razones. Para tal efecto, en este trabajo se discute, primero, qué significaría ser crítico o tender hacia la criticidad tanto autorreferente como hacia terceros. Esta sección está apoyada principalmente con ideas provenientes de la teoría de la argumentación y de la lógica informal. En segundo término, se aborda el concepto de democracia deliberativa a la (...) luz de la sinergia conceptual que habría entre la participación -potencial- de un agente crítico en tal contexto sociopolítico. En esta sección se pasa revista a algunas de las ideas centrales de la teoría de la democracia deliberativa. Y en la tercera y última parte, se aborda el problema de dar y recibir razones discutiendo la propuesta semántica inferencialista de Brandom (2002, 2005) para observar de qué manera este acercamiento puede aportar a una teoría de la deliberación y a un concepto -y educación- de agente crítico. En las conclusiones se sintetizan las ideas principales y, además, se hace un contrapunto entre la noción de agencia, concepto que es importante en mi propuesta, y la noción de persona, concepto de especial valor en la teoría de la democracia deliberativa. (shrink)

Journal for the Theory of Social Behaviour, EarlyView.

AI research is being challenged with ensuring that autonomous agents learn to behave ethically, namely in alignment with moral values. Here, we propose a novel way of tackling the value alignment problem as a two-step process. The first step consists on formalising moral values and value aligned behaviour based on philosophical foundations. Our formalisation is compatible with the framework of (Multi-Objective) Reinforcement Learning, to ease the handling of an agent’s individual and ethical objectives. The second step consists in designing an (...) environment wherein an agent learns to behave ethically while pursuing its individual objective. We leverage on our theoretical results to introduce an algorithm that automates our two-step approach. In the cases where value-aligned behaviour is possible, our algorithm produces a learning environment for the agent wherein it will learn a value-aligned behaviour. (shrink)

Many models of (un)ethical decision making assume that people decide rationally and are in principle able to evaluate their decisions from a moral point of view. However, people might behave unethically without being aware of it. They are ethically blind. Adopting a sensemaking approach, we argue that ethical blindness results from a complex interplay between individual sensemaking activities and context factors.

This paper aims to open a dialogue between philosophers working in decision theory and operations researchers and engineers working on decision-making under deep uncertainty. Specifically, we assess the recommendation to follow a norm of robust satisficing when making decisions under deep uncertainty in the context of decision analyses that rely on the tools of Robust Decision-Making developed by Robert Lempert and colleagues at RAND. We discuss two challenges for robust satisficing: whether the norm might derive its plausibility from an implicit (...) appeal to probabilistic representations of uncertainty of the kind that deep uncertainty is supposed to preclude; and whether there is adequate justification for adopting a satisficing norm, as opposed to an optimizing norm that is sensitive to considerations of robustness. We discuss decision-theoretic and voting-theoretic motivations for robust satisficing, and use these motivations to select among candidate formulations of the robust satisficing norm. (shrink)

Human behavior is guided by evolutionarily shaped brain mechanisms that make statistical predictions based on limited information. Such mechanisms are important for facilitating interpersonal relationships, avoiding dangers, and seizing opportunities in social interaction. We thus suggest that it is essential for analyses of prejudice and prejudice reduction to take the predictive accuracy and adaptivity of the studied prejudices into account.

In this paper I have two main aims. My first aim is to introduce the notion of bounded emotionality. This notion is the analogue of that of bounded rationality in behavioural economics. Bounded rationality says, roughly, that human beings are cognitively limited with respect to their processing and memory capacities. Bounded emotionality says that we are limited in our emotional capabilities, notably in the intensity, duration, and possible combinations of our emotional states. Bounded rationality is a foundational notion in behavioural (...) economics and has played an important role in various fields of philosophy as well. In particular, in epistemology bounded rationality has been thought to have implications with respect to our doxastic norms. My second aim in this paper is to suggest that bounded emotionality also has an important role to play in philosophy. As a case in point, I discuss the implications that bounded emotionality has for our doxastic norms. In particular, I argue that one is not obligated to believe something or to stop holding a belief if one could not believe/fail to believe it without having an emotional response that exceeds one's bounded emotional capacities. (shrink)

Many philosophers have become sceptical of the use of thought experiments in theorising about personal identity. In large part this is due to work in experimental philosophy that appears to confirm long held philosophical suspicions that thought experiments elicit inconsistent judgements about personal identity, and hence judgements that are thought to be the product of cognitive biases. If so, these judgements appear to be useless at informing our theories of personal identity. Using the methods of experimental philosophy, we investigate whether (...) people exhibit inconsistent judgements and, if they do, whether these judgements are likely to be the source of cognitive bias or, instead, sensitivity to some relevant factor. We do not find that people’s judgements are sensitive to any of the factors we investigate (relevant or irrelevant), nor that people have inconsistent judgements across cases. Rather, people’s judgements are best explained by them having a very minimal account of what it takes for a person to survive. Since this pattern of judgements is no reason to think that we are subject to cognitive bias, we see no reason, as things stand, to be sceptical of our judgements. (shrink)

Dilemma situations involving the choice of which human life to save in the case of unavoidable accidents are expected to arise only rarely in the context of autonomous vehicles. Nonetheless, the scientific community has devoted significant attention to finding appropriate and acceptable automated decisions in the event that AVs or drivers of AVs were indeed to face such situations. Awad and colleagues, in their now famous paper “The Moral Machine Experiment”, used a “multilingual online ‘serious game’ for collecting large-scale data (...) on how citizens would want AVs to solve moral dilemmas in the context of unavoidable accidents.” Awad and colleagues undoubtedly collected an impressive and philosophically useful data set of armchair intuitions. However, we argue that applying their findings to the development of “global, socially acceptable principles for machine learning” would violate basic tenets of human rights law and fundamental principles of human dignity. To make its arguments, our paper cites principles of tort law, relevant case law, provisions from the Universal Declaration of Human Rights, and rules from the German Ethics Code for Autonomous and Connected Driving. (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)

Moral theorists like Singer and Greene argue that we should discount intuitions about ‘up-close-and-personal’ moral dilemmas because they are more likely than intuitions about ‘impersonal’ dilemmas to be artifacts of evolution. But by that reasoning, it seems we should ignore the evolved, ‘up-close-and-personal’ intuition to save a drowning child in light of the too-new-to-be-evolved, ‘impersonal’ intuition that we need not donate to international famine relief. This conclusion seems mistaken and horrifying, yet it cannot be the case both that ‘up-close-and-personal’ intuitions (...) are more reliable than ‘impersonal’ intuitions, and vice versa. Thus, Singer’s evolutionary debunking argument proves too much, and should not be taken seriously. However, Singer’s debunking argument is typical of an entire class of arguments that seeks to debunk normative principles by reference to evolution. This entire class of argument, I argue, therefore also proves too much to be taken seriously. (shrink)

We sometimes violate social norms in order to express our views and to trigger public debates. Many extant accounts of social norms don’t give us any insight into this phenomenon. Drawing on Cristina Bicchieri’s work, I am putting forward an empirical hypothesis that helps us to understand such norm violations. The hypothesis says, roughly, that we often adhere to norms because we are systematically blind to norm-violating options. I argue that this hypothesis is independently plausible and has interesting consequences. It (...) implies, e.g., that some experimental paradigms for investigating social norms have hitherto unnoticed shortcomings. (shrink)

In the period since the 2008 Wall Street crash, little consensus has emerged on its causes or actions to prevent a recurrence. Our capability for rational decision making was overwhelmed. Viewing the entire financial system as a huge, richly interconnected organization suggests that its structure and associated management practices are suited for a far simpler environment. An organization that is large relative to its environment and sufficiently complex to require the coordination of specialized expertise cannot function by enabling decision makers (...) to respond only to local demands. The resulting inability to recognize critical interdependencies and the nature of their risk makes periodic catastrophic failure likely. Specifically, compartmentalization of information, influence, and reward creates a myopic decision environment in which individual decision makers are unlikely to make effective or ethical decisions. Useful criteria for evaluating solutions can be suggested by considering the interaction of two factors: limited human information processing capability and the effect of motivation on information processing. Taken together, they suggest that human information processing is both limited and opportunistic. We cannot process all information available and the information selected for processing narrows to that needed to achieve salient rewards. Because of this, the organization's reward practices and their effect on motivation are a critical variable. Large financial rewards contingent upon short term, local, simplistic measures inevitably narrow the focus of decision maker's attention to a small part of the system. In contrast, dominant intrinsic motivation is rooted in awareness of, and responsibility for, broader outcomes. Each type of motivation differs in its requirements for sharing of information, influence, and reward. These, in turn, determine the adaptability of the organization to complexity and change. While this has significant ethical implications, its logic rests on the limitations of human information processing and motivation. Aligning human motivation and information flow to the demands of a complex, turbulent financial environment is the challenge we must meet to prevent further cataclysms. (shrink)

This paper discusses a novel kind of argument for assessing the moral significance of acts of lying and misleading. It is based on considerations about valuable social norms that might be eroded by these actions, because these actions function as signals. Given that social norms can play an important role in supporting morality, individuals have a responsibility to preserve such norms and to prevent ‘cultural slopes’ that erode them. Depending on whether there are norms against lying, misleading, or both, and (...) how likely it is that they might be eroded, these actions can thus have different moral significance. In cases in which the rule ‘do not lie’, as a relatively simple rule, functions as a ‘focal point’, acts of misleading are often morally preferable. In other words, in such cases the possibility of ‘cultural slopes’ can ground a context-dependent slippery slope argument for a moral difference between lying and misleading. (shrink)

Journal of Social Philosophy, EarlyView.

This paper presents methods and challenges attendant on the use of protocol analysis to develop a model of heuristic processing applied to research ethics. Participants are exposed to ethically complex scenarios and asked to verbalize their thoughts as they formulate a requested decision. The model identifies functional parts of the decision-making task: interpretation, retrieval, judgment and editing and seeks to reliably code participant verbalizations to those tasks as well as to a set of cognitive tools generally useful in such work. (...) Important difficulties in the reliability and external validity of measurement are evaluated and a small set of illustrative data is used in support of that discussion. Results indicate that both intuitive emotional but also more deliberative cognition is present which is consistent with work in related literatures in expertise and in neuropsychology. Finally, the theoretical and practical potential of the approach is elaborated, particularly through links to a framing in Aristotelian ethics. (shrink)

Unlike behaviorism, cognitive psychology relies on mental concepts to explain behavior. Yet mental processes are not directly observable and multiple explanations are possible, which poses a challenge for finding a useful framework. In this article, I distinguish three new frameworks for explanations that emerged after the cognitive revolution. The first is called tools‐to‐theories: Psychologists' new tools for data analysis, such as computers and statistics, are turned into theories of mind. The second proposes as‐if theories: Expected utility theory and Bayesian statistics (...) are turned into theories of mind, describing an optimal solution of a problem but not its psychological process. The third studies the adaptive toolbox (formal models of heuristics) that describes mental processes in situations of uncertainty where an optimal solution is unknown. Depending on which framework researchers choose, they will model behavior in either situations of risk or of uncertainty, and construct models of cognitive processes or not. The frameworks also determine what questions are asked and what kind of data are generated. What all three frameworks have in common, however, is a clear preference for formal models rather than explanations by general dichotomies or mere verbal concepts. The frameworks have considerable potential to inform each other and to generate points of integration. (shrink)

Metaphors of mind and their elaboration into models serve a crucial explanatory role in psychology. In this article, an attempt is made to describe how biology and engineering provide the predominant metaphors for contemporary psychology. A contrast between the discursive and descriptive functions of metaphor use in theory construction serves as a platform for deliberation upon the pragmatic consequences of models derived therefrom. The conclusion contains reflections upon the possibility of an integrative interdisciplinary psychology.

This paper presents methods and challenges attendant on the use of protocol analysis to develop a model of heuristic processing applied to research ethics. Participants are exposed to ethically complex scenarios and asked to verbalize their thoughts as they formulate a requested decision. The model identifies functional parts of the decision-making task: interpretation, retrieval, judgment and editing and seeks to reliably code participant verbalizations to those tasks as well as to a set of cognitive tools generally useful in such work. (...) Important difficulties in the reliability and external validity of measurement are evaluated and a small set of illustrative data is used in support of that discussion. Results indicate that both intuitive emotional but also more deliberative cognition is present which is consistent with work in related literatures in expertise and in neuropsychology. Finally, the theoretical and practical potential of the approach is elaborated, particularly through links to a framing in Aristotelian ethics. (shrink)

Philosophy of the Social Sciences, Volume 51, Issue 6, Page 574-599, December 2021. In “Different Cultures, Different Rationalities” Stephen Lukes weighs in on the controversies concerning the killing of Captain Cook by Hawaiians and what it says about the role of rationality assumptions in translation. While at first seeming to adopt a Davidsonian anti-relativist position concerning the enabling role of assumptions of common rationality in interpretation, Lukes rejects Davidson’s view, and opts instead for a “totalizing” strategy inspired by Mauss. Here (...) I explore rationales for Lukes’ position and endeavor to reconcile Lukes’, Davidson’s, and Mauss’s positions by developing a case for a limited interpretive requirement of shared rationality. (shrink)

This article proposes a novel integrative approach to moral judgment and a related model that could explain how unconscious heuristic processes are transformed into consciously accessible moral intuitions. Different hypothetical cases have been tested empirically to evoke moral intuitions that support principles from competing moral theories. We define and analyze the types of intuitions that moral theories and studies capture: those focusing on agents (A), deeds (D), and consequences (C). The integrative ADC approach uses the heuristic principle of “attribute substitution” (...) to explain how people make intuitive judgments. The target attributes of moral judgments are moral blameworthiness and praiseworthiness, which are substituted with more accessible and computable information about an agent's virtues and vices, right/wrong deeds, and good/bad consequences. The processes computing this information are unconscious and inaccessible, and therefore explaining how they provide input for moral intuitions is a key problem. We analyze social heuristics identified in the literature and offer an outline for a new model of moral judgment. Simple social heuristics triggered by morally salient cues rely on three distinct processes (role-model entity, action analysis, and consequence tallying—REACT) in order to compute the moral valence of specific intuitive responses (A, D, and C). These are then rapidly combined to form an intuitive judgment that could guide quick decision making. The ADC approach and REACT model can clarify a wide set of data from empirical moral psychology and could inform future studies on moral judgment, as well as case assessments and discussions about issues causing “deadlocked” moral intuitions. (shrink)

For most of the history of prejudice research, negativity has been treated as its emotional and cognitive signature, a conception that continues to dominate work on the topic. By this definition, prejudice occurs when we dislike or derogate members of other groups. Recent research, however, has highlighted the need for a more nuanced and (Eagly 2004) perspective on the role of intergroup emotions and beliefs in sustaining discrimination. On the one hand, several independent lines of research have shown that unequal (...) intergroup relations are often marked by attitudinal complexity, with positive responses such as affection and admiration mingling with negative responses such as contempt and resentment. Simple antipathy is the exception rather than the rule. On the other hand, there is mounting evidence that nurturing bonds of affection between the advantaged and the disadvantaged sometimes entrenches rather than disrupts wider patterns of discrimination. Notably, prejudice reduction interventions may have ironic effects on the political attitudes of the historically disadvantaged, decreasing their perceptions of injustice and willingness to engage in collective action to transform social inequalities. (shrink)

One of the main challenges that the arriving paradigm of Internet of Things brings to society is providing and securing individual privacy. There are lots of obstacles which prevents us from successfully confronting such a challenge. In this paper we are going to deal with one such obstacle, and that is the bounded rationality of humans as participants in the environment of Internet of Things. We argue that the ethical approach to the vision of the Internet of Things has to (...) include the notion of bounded rationality. Bounded rationality of users impedes the possibility of giving informed consent. Informed consent is required when getting permission for collecting and using somebody’s personal information. Lastly, we discuss the need for a paternalistic approach of maximum possible default privacy settings without asking for consent, given the seriousness of all potential risks. (shrink)

We implement a risky choice experiment based on one-dimensional choice variables and risk neutrality induced via binary lottery incentives. Each participant confronts many parameter constellations with varying optimal payoffs. We assess optimality, as well as optimal satisficing by eliciting aspirations in addition to choices. Treatments differ in the probability that a binary random event, which are payoff—but not optimal choice—relevant is experimentally induced and whether participants choose portfolios directly or via satisficing, i.e., by forming aspirations and checking for satisficing before (...) making their choice. By incentivizing aspiration formation, we can test satisficing, and in cases of satisficing, determine whether it is optimal. (shrink)

I argue that moral judgments function as commitment strategies that rely on a deflection of attention from our motivations and values. Revealing the hidden workings of these strategies allows me to illustrate and explain some of the widely unrecognized practical downsides of moral discourse. I recommend a departure from moral discourse in favor of paying more and better attention to our actual concerns. Important strengths of my approach over contemporary forms of moral abolitionism lie in my ability to sidestep moral (...) error theories, my acknowledgment of the significant value of moral discourse, and thus the restricted target of my recommendation. (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)

The procurement decision-making process for complex military product systems (CoPS) has significant implications for military end-users, suppliers, and exchequers. This study examines the usefulness of adopting a fast and frugal decision-making approach for the acquisition of military CoPS. Defence procurement environment is complex. On the one hand, there are uncertainties and severe resource constraints due to regularly changing threat perceptions, limited flow of information about new technologies, and the growing demand to reduce defence related expenses. On the other hand, several (...) stakeholders remain pre-occupied with the demand for ‘zero-error’ technologies. In such a setting, recurrent cost overruns and delays in supply are common in defence procurement programmes, across countries. Taking the illustrative examples of the missile system, fighter jet, and radar system acquisitions in India, we elucidate on ‘optimising’ versus ‘satisficing’ dynamics in the procurement decisions. The paper argues that a fast and frugal decision-making process by relying on judgement, experiential knowledge, and intuitive learning might make procurement processes, adaptively, more efficient. Such an approach would enable a ‘good enough’ technology to be inducted, and improved upon, through regular feedback from the actual environment. The study has implications for policy scholarships on innovation policy instruments under uncertainty. (shrink)

Heuristics are often invoked in the philosophical, psychological, and cognitive science literatures to describe or explain methodological techniques or "shortcut" mental operations that help in inference, decision-making, and problem-solving. Yet there has been surprisingly little philosophical work done on the nature of heuristics and heuristic reasoning, and a close inspection of the way(s) in which "heuristic" is used throughout the literature reveals a vagueness and uncertainty with respect to what heuristics are and their role in cognition. This dissertation seeks to (...) remedy this situation by motivating philosophical inquiry into heuristics and heuristic reasoning, and then advancing a theory of how heuristics operate in cognition. I develop a positive working characterization of heuristics that is coherent and robust enough to account for a broad range of phenomena in reasoning and inference, and makes sense of empirical data in a systematic way. I then illustrate the work this characterization does by considering the sorts of problems that many philosophers believe heuristics solve, namely those resulting from the so-called frame problem. Considering the frame problem motivates the need to gain a better understanding of how heuristics work and the cognitive structures over which they operate. I develop a general theory of cognition which I argue underwrites the heuristic operations that concern this dissertation. I argue that heuristics operate over highly organized systems of knowledge, and I offer a cognitive architecture to accommodate this view. I then provide an account of the systems of knowledge that heuristics are supposed to operate over, in which I suggest that such systems of knowledge are concepts. The upshot, then, is that heuristics operate over concepts. I argue, however, that heuristics do not operate over conceptual content, but over metainformational relations between activated and primed concepts and their contents. Finally, to show that my thesis is empirically adequate, I consider empirical evidence on heuristic reasoning and argue that my account of heuristics explains the data. (shrink)

In four experiments, we offer evidence that virtues are often judged as uniquely important for some business practices (e.g., hospital management and medical error investigation). Overall, actions done only from virtue (either by organizations or individuals) were judged to feel better, to be more praiseworthy, to be more morally right, and to be associated with more trustworthy leadership and greater personal life satisfaction compared to actions done only to produce the best consequences or to follow the correct moral rule. These (...) results accord with claims made by some virtue ethicists. The current data contribute to a small but growing body of literature emphasizing both empirical soundness and philosophical rigor in the scientific study of virtue. Results also offer some guidance concerning how businesses, employees, and executives are evaluated and perceived. Implications for theory and practice are discussed. (shrink)