77 research outputs found

    The Evolution of Social Contracts

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    Influential thinkers such as Young, Sugden, Binmore, and Skyrms have developed game-theoretic accounts of the emergence, persistence and evolution of social contracts. Social contracts are sets of commonly understood rules that govern cooperative social interaction within societies. These naturalistic accounts provide us with valuable and important insights into the foundations of human societies. However, current naturalistic theories focus mainly on how social contracts solve coordination problems in which the interests of the individual participants are aligned, not competition problems in which individual interests compete with group interests. In response, I set out to build on those theories and provide a comprehensive naturalistic account of the emergence, persistence and evolution of social contracts. My central claim is that social contracts have culturally evolved to solve cooperation problems, which include both coordination and competition problems. I argue that solutions to coordination problems emerge from “within-group” dynamics, while solutions to competition problems result largely from “between-group” dynamics

    Towards global cooperation: The case for a Deliberative Global Citizens' assembly

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    In an important article published in this journal, Dryzek, BĂ€chtiger and Milewicz (2011) champion the convocation of a Deliberative Global Citizens’ Assembly (DGCA). In this article, I aim to further strengthen the case for a DGCA by addressing: (i) why a DGCA is likely to take a long-term perspective in the global interest and (ii) why it is so vital that a global institution should do so. I start by analyzing the nature of the issues requiring global policy. These issues, I will argue, are typically global cooperation problems. Cooperation problems pose two major challenges. The first is to prevent freeriding – i.e. serving one’s short-term interests at the expense of the long-term global interest. The second is to align on an efficient global policy. In both respects, I will argue, a DGCA is a good candidate to yield desirable results (and is likely to do better than current supranational institutions)

    the cultural evolution of institutional religions

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    In recent work, Atran, Henrich, Norenzayan and colleagues developed an account of religion that reconciles insights from the ‘by-product’ accounts and the adaptive accounts. According to their synthesis, the process of cultural group selection driven by group competition has recruited our proclivity to adopt and spread religious beliefs and engage in religious practices to increase within group solidarity, harmony and cooperation. While their account has much merit, I believe it only tells us half the story of how institutional religions have evolved. Their cultural evolutionary account of religion only looks at the cultural dynamics arising from competition between groups, not at the dynamics arising from within the group. Drawing from game-theoretic analyses of the emergence and cultural evolution of social institutions, I outline two sets of important ‘within-group’ dynamics that shape institutional religions. The first follow from the necessity to keep the interaction of the participants in an equilibrium state in order to maintain the social institution. The second arise from the competition of institutional features for traction within the group. Bringing these dynamics into account enables us to explain prominent features of institutional religions that cannot be satisfactorily explained by the current model of the cultural evolution of religions

    Don’t blame the norms! On the challenges of ecological rationality

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    Enlightenment thinkers viewed logic and mathematical probability as the hallmarks of rationality. In psychological research on human (ir)rationality, human subjects are typically held accountable to this arcane ideal of Reason. If people fall short of these traditional standards, as indeed they often do, they are biased or irrational. Recent work in the program of ecological rationality, however, aims to rehabilitate human reason, and to upturn our traditional conception of rationality in the process. Put bluntly, these researchers are turning the tables on the traditionalist, showing that human reasoning often outperforms complex algorithms based on the traditional canons of rationality. If human reason still appears paltry from the vantage point of capital-R Rationality, then so much the worse for Rationality. Maybe the norms themselves are in need of revision. Perhaps human reasoning is better than rational. Though we welcome the naturalization of human reason, we argue that this backlash against the classical norms of rationality is uncalled for. Ecological rationality presents two apparent challenges to the traditional canons of rationality. In both cases, we contend, the norms emerge unscathed. In the first category, norms of rationality that appear violated by individual reasoners, re-emerge at the level of evolutionary adaptation. In the second category, the norms under challenge simply turn out to be not applicable to the case at hand. Moreover, we should keep in mind that, when they are assessing the efficiency of human reasoning, advocates of ecological rationality still use the traditional norms of rationality as a benchmark. We conclude that, even if we accept all the fascinating findings garnered by the advocates of ecological rationality (and there is ample reason to do so), we need not be taken in by the rhetoric against classical rationality, or the false opposition between logical and ecological rationality. When the dust has settled, the norms are still standing

    The Evolution of Social Contracts

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    How can Human Beings Transgress their Biologically Based Views?

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    Lettere En WysbegeerteFilosofiePlease help us populate SUNScholar with the post print version of this article. It can be e-mailed to: [email protected]

    A cognitive perspective on scientific realism

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    The debate about scientific realism is concerned with the relation between our scientific theories and the world. Scientific realists argue that our best theories or components of those theories correspond to the world. Anti-realists deny such a correspondence. Traditionally, this central issue in the philosophy of science has been approached by focusing on the theories themselves (e.g., by looking at theory change or the underlying experimental context). I propose a relatively unexplored way to approach this old debate. In addition to focusing on the theory, we should focus on the theorizer. More precisely, in order to determine on which component of a theory we should hinge a realist commitment, we should analyze the cognitive processes underlying scientific theorizing. In this paper I do just that. Drawing from recent developments in the cognitive sciences and evolutionary epistemology, I formulate some tentative conclusions. The aim of this paper is not so much to defend a particular position in the debate on scientific realism but to showcase the value of taking a cognitive perspective in the debate

    Explaining human altruism

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    Humans often behave altruistically towards strangers with no chance of reciprocation. From an evolutionary perspective, this is puzzling. The evolution of altruistic cooperative behavior-in which an organism's action reduces its fitness and increases the fitness of another organism (e.g. by sharing food)-only makes sense when it is directed at genetically related organisms (kin selection) or when one can expect the favor to be returned (reciprocal altruism). Therefore, evolutionary theorists such as Sober and Wilson have argued that we should revise Neo-Darwininian evolutionary theory. They argue that human altruism evolved through group selection in which groups of altruists were naturally selected because they had a comparative advantage over other groups. Wilson and Sober's hypothesis attracted followers but is rejected by most of their peers. The heated debate between advocates and critics of group selection often suffers from a lack of conceptual clarity. In response, I set out to clearly distinguish 'genetic' from 'cultural' group selection (developed by Boyd, Richerson & Henrich) and argue that the latter does not face the potentially debilitating problems plaguing the former. I defend the claim that human altruistic dispositions evolved through cultural group selection and gene-culture coevolution and offer empirical evidence in support. I also argue that actual altruistic behavior often goes beyond the kind of behavior humans have evolved to display. Conscious and voluntary reasoning processes, I show, have an important role in altruistic behavior. This is often overlooked in the scientific literature on human altruism

    Calibrating the balance: The ethics of regulating the production and use of nanotechnology applications

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    Nanotechnology (henceforth NT) is a rapidly advancing field with the potential of revolutionizing diverse areas such as electronics, healthcare, transport and energy production. NT products and applications come with (potential) benefits and (potential) harms. The presence of potential harms calls for regulation. Both under- and overregulation – I argue – are morally undesirable. In the case of underregulation, stakeholders fall victim to the harmful effects of the technology. In the case of overregulation, stakeholders are deprived of the benefits of the technology. In this chapter, I identify the biases and factors that lead to under- and overregulation and offer solutions in response. More precisely, I argue that a lack of specific regulation, the presence of conflicts of interest and short-term economic incentives could lead to the underregulation of NT products and applications. Conversely, I argue that a negativity bias, harm aversion, the fear of opening ‘Pandora’s box’ and the intuition that what is natural is good and what is artificial (human-made) is bad could lead to overregulation. To avoid these pitfalls and the woes of under- and overregulation following in their wake, we need to set up a process – which I describe – in which policymakers and independent scientists closely collaborate
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