This dissertation examines the psychology of moral judgment and its implications for normative ethics and metaethics. Recent empirical findings in moral psychology, such as the impact of emotions, intuitions, and situational factors on moral judgments, have sparked a debate about whether ordinary moral judgments are systematically error-prone. Some philosophers, such as Peter Singer and Joshua Greene, argue that these findings challenge the reliability of moral intuitions and support more "reasoned", consequentialist approaches over deontological ones. The first part of the dissertation (...) reviews these provocative findings and the philosophical reactions to them, which often invoke the notion of 'moral relevance' - the idea that some factors shaping moral judgments are morally irrelevant. The second part develops a psychological account of moral relevance, drawing on theories of the moral domain, the role of emotions, and models of moral cognition. This account reveals the complex interplay of intuitive and reasoned processes in generating impressions of moral relevance. The final part reevaluates the philosophical discussions in light of this psychological understanding. It contends that the evolutionary background of moral intuitions does not necessarily render them inadequate, and that both deontological and consequentialist judgments likely depend on evolved intuitions to a significant degree. Furthermore, the tendency to dismiss certain influences on moral judgment as irrelevant can itself be explained psychologically. Considering the psychological account presented, mind-independent accounts of morality become less plausible. The dissertation concludes that while empirical moral psychology reveals important constraints on normative theorizing, it does not decisively favor consequentialism over deontology. To assess the significance of empirical-scientific findings for ethics, a nuanced understanding of the origins of moral judgments is nevertheless indispensable. (shrink)

Public policies are designed to have an impact on particular societies, yet policy-oriented computer models and simulations often focus more on articulating the policies to be applied than on realistically rendering the cultural dynamics of the target society. This approach can lead to policy assessments that ignore crucial social contextual factors. For example, by leaving out distinctive moral and normative dimensions of cultural contexts in artificial societies, estimations of downstream policy effectiveness fail to account for dynamics that are fundamental in (...) human life and central to many public policy challenges. In this paper, we supply evidence that incorporating morally salient dimensions of a culture is critically important for producing relevant and accurate evaluations of social policy when using multi-agent artificial intelligence models and simulations. (shrink)

In the past few years, social epistemologists have developed several formal models of the social organisation of science. While their robustness and representational adequacy has been analysed at length, the function of these models has begun to be discussed in more general terms only recently. In this article, I will interpret many of the current formal models of the scientific community as representing the latest development of what I will call the ‘Kuhnian project’. These models share with Kuhn a number (...) of questions about the relation between individuals and communities. At the same time, they also inherit some of Kuhn’s problematic characterisations of the scientific community. In particular, current models of the social organisation of science represent the scientific community as essentially value-free. This may put into question both their representational adequacy and their normative ambitions. In the end, it will be shown that the discussion on the formal models of the scientific community may contribute in fruitful ways to the ongoing debates on value judgements in science. (shrink)