Artificial agents (AAs), particularly but not only those in Cyberspace, extend the class of entities that can be involved in moral situations. For they can be conceived of as moral patients (as entities that can be acted upon for good or evil) and also as moral agents (as entities that can perform actions, again for good or evil). In this paper, we clarify the concept of agent and go on to separate the concerns of morality and responsibility of (...) agents (most interestingly for us, of AAs). We conclude that there is substantial and important scope, particularly in Computer Ethics, for the concept of moral agent not necessarily exhibiting free will, mental states or responsibility. This complements the more traditional approach, common at least since Montaigne and Descartes, which considers whether or not (artificial) agents have mental states, feelings, emotions and so on. By focussing directly on mind-less morality we are able to avoid that question and also many of the concerns of Artificial Intelligence. A vital component in our approach is the Method of Abstraction for analysing the level of abstraction (LoA) at which an agent is considered to act. The LoA is determined by the way in which one chooses to describe, analyse and discuss a system and its context. The Method of Abstraction is explained in terms of an interface or set of features or observables at a given LoA. Agenthood, and in particular moral agenthood, depends on a LoA. Our guidelines for agenthood are: interactivity (response to stimulus by change of state), autonomy (ability to change state without stimulus) and adaptability (ability to change the transition rules by which state is changed) at a given LoA. Morality may be thought of as a threshold defined on the observables in the interface determining the LoA under consideration. An agent is morally good if its actions all respect that threshold; and it is morally evil if some action violates it. That view is particularly informative when the agent constitutes a software or digital system, and the observables are numerical. Finally we review the consequences for Computer Ethics of our approach. In conclusion, this approach facilitates the discussion of the morality of agents not only in Cyberspace but also in the biosphere, where animals can be considered moral agents without their having to display free will, emotions or mental states, and in social contexts, where systems like organizations can play the role of moral agents. The primary cost of this facility is the extension of the class of agents and moral agents to embrace AAs. (shrink)

Recent work on diachronic agency has challenged the predominantly structural or synchronic approach to agency that is characteristic of much of the literature in contemporary philosophical moral psychology. However, the embodied dimensions of diachronic agency continue to be neglected in the literature. This article draws on phenomenological perspectives on embodiment and narrative conceptions of the self to argue that diachronic agency and selfhood are anchored in embodiment. In doing so, the article also responds to Diana Meyers' recent work on corporeal (...) selfhood. (shrink)

Deep learning (DL) has become increasingly central to science, primarily due to its capacity to quickly, efficiently, and accurately predict and classify phenomena of scientific interest. This paper seeks to understand the principles that underwrite scientists’ epistemic entitlement to rely on DL in the first place and argues that these principles are philosophically novel. The question of this paper is not whether scientists can be justified in trusting in the reliability of DL. While today’s artificial intelligence exhibits characteristics common to (...) both scientific instruments and scientific experts, this paper argues that the familiar epistemic categories that justify belief in the reliability of instruments and experts are distinct, and that belief in the reliability of DL cannot be reduced to either. Understanding what can justify belief in AI reliability represents an occasion and opportunity for exciting, new philosophy of science. (shrink)

What is the function of cognition? On one influential account, cognition evolved to co-ordinate behaviour with environmental change or complexity. Liberal interpretations of this view ascribe cognition to an extraordinarily broad set of biological systems—even bacteria, which modulate their activity in response to salient external cues, would seem to qualify as cognitive agents. However, equating cognition with adaptive flexibility per se glosses over important distinctions in the way biological organisms deal with environmental complexity. Drawing on contemporary advances in theoretical (...) biology and computational neuroscience, we cash these distinctions out in terms of different kinds of generative models, and the representational and uncertainty-resolving capacities they afford. This analysis leads us to propose a formal criterion for delineating cognition from other, more pervasive forms of adaptive plasticity. On this view, biological cognition is rooted in a particular kind of functional organisation; namely, that which enables the agent to detach from the present and engage in counterfactual inference. (shrink)

The paper presents a new logic for reasoning about the formation of beliefs through perception or through inference in non-omniscient resource-bounded agents. The logic distinguishes the concept of explicit belief from the concept of background knowledge. This distinction is reflected in its formal semantics and axiomatics: we use a non-standard semantics putting together a neighborhood semantics for explicit beliefs and relational semantics for background knowledge, and we have specific axioms in the logic highlighting the relationship between the two concepts. (...) Mental operations of perceptive type and inferential type, having effects on epistemic states of agents, are primitives in the object language of the logic. At the semantic level, they are modelled as special kinds of model-update operations, in the style of dynamic epistemic logic. Results about axiomatization, decidability and complexity for the logic are given in the paper. (shrink)

Genes and the Agents of Life undertakes to rethink the place of the individual in the biological sciences, drawing parallels with the cognitive and social sciences. Genes, organisms, and species are all agents of life but how are each of these conceptualized within genetics, developmental biology, evolutionary biology, and systematics? The 2005 book includes highly accessible discussions of genetic encoding, species and natural kinds, and pluralism above the levels of selection, drawing on work from across the biological sciences. (...) The book is a companion to the author's Boundaries of the Mind (2004), also available from Cambridge, where the focus is the cognitive sciences. The book will appeal to a broad range of professionals and students in philosophy, biology, and the history of science. You can download the table of contents and the first chapter here. (shrink)

We examine Van Wynsberghe and Robbins (JAMA 25:719-735, 2019) critique of the need for Artificial Moral Agents (AMAs) and its rebuttal by Formosa and Ryan (JAMA 10.1007/s00146-020-01089-6, 2020) set against a neo-Aristotelian ethical background. Neither Van Wynsberghe and Robbins (JAMA 25:719-735, 2019) essay nor Formosa and Ryan’s (JAMA 10.1007/s00146-020-01089-6, 2020) is explicitly framed within the teachings of a specific ethical school. The former appeals to the lack of “both empirical and intuitive support” (Van Wynsberghe and Robbins 2019, p. 721) (...) for AMAs, and the latter opts for “argumentative breadth over depth”, meaning to provide “the essential groundwork for making an all things considered judgment regarding the moral case for building AMAs” (Formosa and Ryan 2019, pp. 1–2). Although this strategy may benefit their acceptability, it may also detract from their ethical rootedness, coherence, and persuasiveness, characteristics often associated with consolidated ethical traditions. Neo-Aristotelian ethics, backed by a distinctive philosophical anthropology and worldview, is summoned to fill this gap as a standard to test these two opposing claims. It provides a substantive account of moral agency through the theory of voluntary action; it explains how voluntary action is tied to intelligent and autonomous human life; and it distinguishes machine operations from voluntary actions through the categories of poiesis and praxis respectively. This standpoint reveals that while Van Wynsberghe and Robbins may be right in rejecting the need for AMAs, there are deeper, more fundamental reasons. In addition, despite disagreeing with Formosa and Ryan’s defense of AMAs, their call for a more nuanced and context-dependent approach, similar to neo-Aristotelian practical wisdom, becomes expedient. (shrink)

This book takes seriously the idea that at least some groups, such as corporations and governments, are genuine agents with mental states on which they act. For instance, in morally assessing a government’s response to the coronavirus pandemic, we are interested in what the government knew at various points as the pandemic developed. And in predicting the outcome of the current war in Ukraine, we might ask what Russia believes about the West’s determination to defend Ukraine. The book examines (...) a range of phenomena central to the epistemic and moral assessment of groups: group evidence, group belief, the basis of group belief, group justified belief, group knowledge, group motivation, and group blameless ignorance. Overall, the book defends a ‘non-summative’ functionalist view of groups. On a non-summative account of group phenomena, it is neither necessary nor sufficient for a group to have a property α that some/most/all of its members have that same property. By contrast, on a summative account it is necessary and sufficient for a group to have a property α that some/most/all of its members have that same property. Across the book I provide new arguments for non-summativism and new accounts of key group phenomena many of which have been relatively neglected in existing literature. While I provide independent arguments for a non-summative view of each phenomenon discussed, the conclusions of the chapters are mutually reinforcing. For adopting a non-summative account of one group phenomenon motivates adopting a non-summative account of others. (shrink)

Can groups really be agents or is group agency just a fiction? Christian List and Philip Pettit argue influentially for group-agent realism by showing how certain groups form and act on attitudes in ways they take to be unexplainable at the level of the individual agents constituting them. Group agency is therefore considered not a fiction or a metaphor but a reality we must account for in explanations of certain social phenomena. In this paper, I challenge this defence (...) of group-agent realism by showing how it is undermined by individual-level analysis of how individuals interact within groups. While group agency can be a useful fiction, real agents are at the individual level, not the collective level. (shrink)

Humean Laws for Human Agents presents cutting-edge research by leading experts on the Humean account of laws, chance, possibility, and necessity. A central question in metaphysics and philosophy of science is: What are laws of nature? Humeans hold that laws are not sui generis metaphysical entities but merely particularly effective summaries of what actually happens. The most discussed recent work on Humeanism emphasizes the laws' usefulness for limited agents and uses pragmatic considerations to address fundamental and long-standing problems. (...) The current volume develops and critically examines pragmatic Humean accounts, with innovative new work on the epistemology of laws and chance, the problem of induction, counterfactuals, special science laws, and a Humean account of essence. Taken together, the papers provide a roadmap for developing pragmatic Humeanism and connate views, setting the agenda for future research. (shrink)

This paper defends a substance-based metaphysics for organisms against three arguments for thinking that we should replace a substantial understanding of living things with a processual one, which are offered by Dan Nicholson and John Dupré in their edited collection,Everything Flows: Towards a Processual Philosophy of Biology(Oxford: Oxford University Press, 2018). Dupré and Nicholson consider three main empirical motivations for the adoption of a process ontology in biology. These motivations are alleged to stem from facts concerning (i) metabolism; (ii) the (...) life cycles of organisms; and (iii) ecological interdependence. The paper discusses each of the three arguments in turn and concludes that none gives us any compelling reason to abandon the metaphysics of things. At best, they are arguments against a kind of caricature substance metaphysics that ought never to have been in the running in any case. Then, at the end of the paper, it is suggested that there may be more positive arguments for insisting on retaining things in our metaphysics, arguments which, perhaps ironically (given the opposed standpoint ofEverything Flows) get their main impetus from the phenomenon of life. (shrink)

Information and representation are thought to be intimately related. Representation, in fact, is commonly considered to be a special kind of information. It must be a _special_ kind, because otherwise all of the myriad instances of informational relationships in the universe would be representational -- some restrictions must be placed on informational relationships in order to refine the vast set into those that are truly representational. I will argue that information in this general sense is important to genuine agents, (...) but that it is a blind alley with regard to the attempt to understand representation. On the other hand, I will also argue that a different, quite non-standard, form of information is central to genuine representation. First I turn to some of the reasons why information as usually considered is the wrong category for understanding representation; second to an alternative model of representation -- one that is naturally emergent in autonomous agents, and that does involve information, but not in any standard form; and third I return to standard notions of informational relationships and show what they are in fact useful for. (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)

Does Kantian moral agency require phenomenal consciousness? More to the point, can firms (and other highly organized collectives) be Kantian moral agents—bound by Kantian obligations—in the absence of consciousness? After sketching the mechanics of my account of corporate agents, I consider three increasingly demanding accounts of Kantian moral agency, concluding that corporate agents can meet each successively higher threshold. They can (1) act on universalizable principles and treat humanity as an end in itself; (2) give such principlesto (...) themselves,treattheir own‘humanity’ as an end itself, and act out of respect for the law; and (3) to the extent necessary, draw on empathically generated information and insights to inflect their performance, all in the absence of phenomenal consciousness. I close by rejecting two further arguments that phenomenal consciousness is nonetheless conceptually or practically necessary for Kantian moral agency. (shrink)

In this paper we present the results of a simulation study of credence developments in groups of communicating Bayesian agents, as they update their beliefs about a given proposition p. Based on the empirical literature, one would assume that these groups of rational agents would converge on a view over time, or at least that they would not polarize. This paper presents and discusses surprising evidence that this is not true. Our simulation study shows that these groups of (...) Bayesian agents show group polarization behavior under a broad range of circumstances. This is, we think, an unexpected result, that raises deeper questions about whether the kind of polarization in question is irrational. If one accepts Bayesian agency as the hallmark of epistemic rationality, then one should infer that the polarization we find is also rational. On the other hand, if we are inclined to think that there is something epistemically irrational about group polarization, then something must be off in the model employed in our simulation study. We discuss several possible interfering factors, including how epistemic trust is defined in the model. Ultimately, we propose that the notion of Bayesian agency is missing something in general, namely the ability to respond to higher-order evidence. (shrink)

This paper pursues a formal analogy between natural language dialogue and collaborative real-world action in general. The analogy depends on an analysis of two aspects of collaboration that figure crucially in language use. First, agents must be able to coordinate abstractly about future decisions which cannot be made on present information. Second, when agents finally take such decisions, they must again coordinate in order to interpret one anothers’ actions as collaborative. The contribution of this paper is a general (...) representation of collaborative plans and intentions, inspired by representations of deductions in logics of knowledge, action and time, which supports these two kinds of coordination. Such representations.. (shrink)

University of Cologne, Germany Joint action and group agency have emerged as focuses of attention in recent social theory and philosophy but they have rarely been connected with one another. The argument of this article is that whereas joint action involves people acting together to achieve any sort of result, group agency requires them to act together for the achievement of one result in particular: the construction of a centre of attitude and agency that satisfies the usual constraints of consistency (...) and rationality in adequate measure. The main discovery in the recent theory of group agency is that this result is not easily achieved; no regular voting procedure will ensure, for example, that a group of individually consistent agents will display consistency in group judgments. Key Words: groups • group agents • collective agents • joint action • joint intention. (shrink)

Orthodox decision theory gives no advice to agents who hold two goods to be incommensurate in value because such agents will have incomplete preferences. According to standard treatments, rationality requires complete preferences, so such agents are irrational. Experience shows, however, that incomplete preferences are ubiquitous in ordinary life. In this paper, we aim to do two things: (1) show that there is a good case for revising decision theory so as to allow it to apply non-vacuously to (...) agents with incomplete preferences, and (2) to identify one substantive criterion that any such non-standard decision theory must obey. Our criterion, Competitiveness, is a weaker version of a dominance principle. Despite its modesty, Competitiveness is incompatible with prospectism, a recently developed decision theory for agents with incomplete preferences. We spend the final part of the paper showing why Competitiveness should be retained, and prospectism rejected. (shrink)

In our daily lives, we need to predict and understand others’ behavior in order to navigate through our social environment. Predictions concerning other humans’ behavior usually refer to their mental states, such as beliefs or intentions. Such a predictive strategy is called ‘adoption of the intentional stance.’ In this paper, we review literature related to the concept of intentional stance from the perspectives of philosophy, psychology, human development, culture, and human-robot interaction. We propose that adopting the intentional stance might be (...) a pivotal factor in facilitating social attunement with artificial agents. The paper first reviews the theoretical considerations regarding the intentional stance and examines literature related to the development of the intentional stance across life span. Subsequently, we discuss cultural norms as grounded in the intentional stance, and finally, we focus on the issue of adopting the intentional stance toward artificial agents, such as humanoid robots. At the dawn of the artificial intelligence era, the question of how – and also when – we predict and explain robots’ behavior by referring to mental states is of high interest. The paper concludes with a discussion on ethical consequences of adopting the intentional stance toward robots, and sketches future directions in research on this topic. (shrink)

1. In the last decade, technological systems based on Artificial Intelligence (AI) architectures entered our lives at an increasingly fast pace. Virtual assistants facilitate our daily tasks, recom...

Neural language models (NLMs) are susceptible to producing inconsistent output. This paper proposes a new diagnosis as well as a novel remedy for NLMs' incoherence. We train NLMs on synthetic text corpora that are created by simulating text production in a society. For diagnostic purposes, we explicitly model the individual belief systems of artificial agents (authors) who produce corpus texts. NLMs, trained on those texts, can be shown to aggregate the judgments of individual authors during pre-training according to sentence-wise (...) vote ratios (roughly, reporting frequencies), which inevitably leads to so-called discursive dilemmas: aggregate judgments are inconsistent even though all individual belief states are consistent. As a remedy for such inconsistencies, we develop a self-training procedure—inspired by the concept of reflective equilibrium—that effectively reduces the extent of logical incoherence in a model's belief system, corrects global mis-confidence, and eventually allows the model to settle on a new, epistemically superior belief state. Thus, social choice theory helps to understand why NLMs are prone to produce inconsistencies; epistemology suggests how to get rid of them. (shrink)

Legg and Hutter, as well as subsequent authors, considered intelligent agents through the lens of interaction with reward-giving environments, attempting to assign numeric intelligence measures to such agents, with the guiding principle that a more intelligent agent should gain higher rewards from environments in some aggregate sense. In this paper, we consider a related question: rather than measure numeric intelligence of one Legg- Hutter agent, how can we compare the relative intelligence of two Legg-Hutter agents? We propose (...) an elegant answer based on the following insight: we can view Legg-Hutter agents as candidates in an election, whose voters are environments, letting each environment vote (via its rewards) which agent (if either) is more intelligent. This leads to an abstract family of comparators simple enough that we can prove some structural theorems about them. It is an open question whether these structural theorems apply to more practical intelligence measures. (shrink)

The idea that normativity and agency are importantly connected goes back at least as far as Kant. But it has recently become associated with a view called “constitutivism.” Perhaps the best-known critique of constitutivism appears in David Enoch’s article, “Agency, Shmagency,” which is the focus of this chapter. His critique of my article, “Agency and the Open Question Argument,” is briefly addressed, explaining why, contrary to his claims, I do not therein defend a form of constitutivism. It is then explained (...) why his “shmagency challenge” does not effectively expose the real challenge faced by those who might wish to develop constitutivist theories. Finally, the chapter considers why we should take seriously the idea that normativity and agency are importantly connected, an idea that neither Enoch’s challenge nor the challenge articulated for constitutivism here does anything to defeat. Enoch has not shown that normativity won’t come from what is constitutive of agency. (shrink)

As robots and Artificial Intelligences become more enmeshed in rich social contexts, it seems inevitable that we will have to make them into moral machines equipped with moral skills. Apart from the technical difficulties of how we could achieve this goal, we can also ask the ethical question of whether we should seek to create such Artificial Moral Agents (AMAs). Recently, several papers have argued that we have strong reasons not to develop AMAs. In response, we develop a comprehensive (...) analysis of the relevant arguments for and against creating AMAs, and we argue that all things considered we have strong reasons to continue to responsibly develop AMAs. The key contributions of this paper are threefold. First, to provide the first comprehensive response to the important arguments made against AMAs by Wynsberghe and Robbins (in “Critiquing the Reasons for Making Artificial Moral Agents”, Science and Engineering Ethics 25, 2019) and to introduce several novel lines of argument in the process. Second, to collate and thematise for the first time the key arguments for and against AMAs in a single paper. Third, to recast the debate away from blanket arguments for or against AMAs in general, to a more nuanced discussion about the use of what sort of AMAs, in what sort of contexts, and for what sort of purposes is morally appropriate. (shrink)

When we think about ethics, we normally focus on a particular sort of agent: the individual person. Some philosophers have argued that we should rethink the limits of what counts as an ethically relevant unit of agency by expanding outward, and claiming that groups of people can have normative reasons for action. In this paper, I explore whether we can go in the other direction. Are there sub‐personal beings who count as agents with their own reasons for action? In (...) particular, might the temporal parts of persons, beings like “me‐in‐my‐twenties,” be thought of as normative agents? This idea, I argue, has deep attractions, and deep, but surmountable, challenges. And if we do accept this idea, I argue, this can indirectly help to support the case for thinking that groups can have reasons for action. (shrink)

The commentaries by Dennett, Sterelny, and Queller on Darwinian Populations and Natural Selection (DPNS) are so constructive that they make it possible to extend and improve the book’s framework in several ways. My replies will focus on points of disagreement, and I will pick a small number of themes and develop them in detail. The three replies below are mostly self-contained, except that all my comments about genes, discussed by all three critics, are in the reply to Queller. Agential views (...) of evolution, discussed by Queller and Dennett, are addressed in my reply to Dennett. (shrink)

While generally accepted as an interpretive theory, Bull’s emblematic text demonstrates strong structural characteristics. Subsequent attributions move between the interpretive or ‘reflexive’ and t...

Orthodox Bayesianism is a highly idealized theory of how we ought to live our epistemic lives. One of the most widely discussed idealizations is that of logical omniscience: the assumption that an agent’s degrees of belief must be probabilistically coherent to be rational. It is widely agreed that this assumption is problematic if we want to reason about bounded rationality, logical learning, or other aspects of non-ideal epistemic agency. Yet, we still lack a satisfying way to avoid logical omniscience within (...) a Bayesian framework. Some proposals merely replace logical omniscience with a different logical idealization; others sacrifice all traits of logical competence on the altar of logical non-omniscience. We think a better strategy is available: by enriching the Bayesian framework with tools that allow us to capture what agents can and cannot infer given their limited cognitive resources, we can avoid logical omniscience while retaining the idea that rational degrees of belief are in an important way constrained by the laws of probability. In this paper, we offer a formal implementation of this strategy, show how the resulting framework solves the problem of logical omniscience, and compare it to orthodox Bayesianism as we know it. (shrink)

Computational approaches based on autonomous agents share with new ape language research the same principles of dynamical system paradigms. A recent model for the evolution of symbolization and language in autonomous agents is briefly described in order to highlight the similarities between these two methodologies. The additional benefits of autonomous agent modeling in the field of language origin research are highlighted.

The objective of this paper is to construct an implementable theory of rational decision-making for cognitive agents subject to realistic resource constraints. It is argued that decision-making should select actions indirectly by selecting plans that prescribe them. It is also argued that although expected values provide the tool for evaluating plans, plans cannot be compared straightforwardly in terms of their expected values, and the objective of a realistic agent cannot be to find optimal plans. The theory of Locally Global (...) planning is proposed as a realistic alternative to standard "maximizing" theories of rational decision-making. (shrink)

The transfer of tasks with sometimes far-reaching implications to autonomous systems raises a number of ethical questions. In addition to fundamental questions about the moral agency of these systems, behavioral issues arise. We investigate the empirically accessible question of whether the imposition of harm by an agent is systematically judged differently when the agent is artificial and not human. The results of a laboratory experiment suggest that decision-makers can actually avoid punishment more easily by delegating to machines than by delegating (...) to other people. Our results imply that the availability of artificial agents could provide stronger incentives for decision-makers to delegate sensitive decisions. (shrink)

I propose that we can explain the contribution of mental time travel to agency through understanding it as a specific instance of our more general capacity for narrative understanding. Narrative understanding involves the experience of a pre-reflective and embodied sense of self, which co-emerges with our emotional involvement with a sequence of events. Narrative understanding of a sequence of events also requires a ‘recombinable system’, that is, the ability to combine parts to make myriad sequences. Mental time travel shares these (...) two characteristics: it involves an embodied sense of self and the ability to create novel scenarios. What is unique about mental time travel is that it is a story explicitly about our selves, and it involves metarepresentation. Agency is enabled by narrative understanding when we are able to put our current situation into a larger narrative context, whereby some possible actions, but not others, make sense. However, new features of agency are enabled when we understand stories that are explicitly about our selves: we gain the ability to plan and act on plans. (shrink)

Virtue ethics has many times been suggested as a promising recipe for the construction of artificial moral agents due to its emphasis on moral character and learning. However, given the complex nature of the theory, hardly any work has de facto attempted to implement the core tenets of virtue ethics in moral machines. The main goal of this paper is to demonstrate how virtue ethics can be taken all the way from theory to machine implementation. To achieve this goal, (...) we critically explore the possibilities and challenges for virtue ethics from a computational perspective. Drawing on previous conceptual and technical work, we outline a version of artificial virtue based on moral functionalism, connectionist bottom–up learning, and eudaimonic reward. We then describe how core features of the outlined theory can be interpreted in terms of functionality, which in turn informs the design of components necessary for virtuous cognition. Finally, we present a comprehensive framework for the technical development of artificial virtuous agents and discuss how they can be implemented in moral environments. (shrink)

Theorists attending to the epistemic condition on responsibility are divided over whether moral ignorance is ever exculpatory. While those who argue that reasonable expectation is required for blameworthiness often maintain that moral ignorance can excuse, theorists who embrace a quality of will approach to blameworthiness are not sanguine about the prospect of excuses among morally ignorant wrongdoers. Indeed, it is sometimes argued that moral ignorance always reflects insufficient care for what matters morally, and therefore that moral ignorance never excuses. Furthermore, (...) quality of will theorists treat their skepticism about excuses for the morally ignorant as a natural implication of their approach. It is therefore unsurprising that, while many have argued for the blamelessness of certain morally ignorant agents on grounds concerning reasonable expectation, the possibility that morally ignorant agents might be blameless even according to quality of will views has not been adequately addressed. I illustrate and explain how it is possible for morally ignorant agents to display sufficient care for the morally relevant features of their wrong behavior. Thus, even if quality of will views are correct, moral ignorance sometimes excuses. (shrink)