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Guiding the evolution of the evolutionary sciences of religion: a discussion

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... For example, frequent, reasonless escalations and attacks with killing or injuring others would dissolve any group. Authors [1] refer to morality as pro-or anti-social norms with direct benefit or cost to others (e.g., theft, murder, generosity, sharing). ...
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We shall have a hard look at ethics and try to extract insights in the form of abstract properties that might become tools. We want to connect ethics to games, talk about the performance of ethics, introduce curiosity into the interplay between competing and coordinating in well-performing ethics, and offer a view of possible developments that could unify increasing aggregates of entities. All this is under a long shadow cast by computational complexity that is quite negative about games. This analysis is the first step toward finding modeling aspects that might be used in AI ethics for integrating modern AI systems into human society.
... For example, frequent, reasonless escalations and attacks with killing or injuring others would dissolve any group. Purzycki et al., 2022 refer to morality as pro-or anti-social norms with direct benefit or cost to others (e.g., theft, murder, generosity, sharing). Throughout human history, significant technological and cultural advancements have occured in several last millennia. ...
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We shall have a hard look at ethics and try to extract insights in the form of abstract properties that might become tools. We want to connect ethics to games, talk about the performance of ethics, introduce curiosity into the interplay between competing and coordinating in well-performing ethics, and offer a view of possible developments that could unify increasing aggregates of entities. All this is under a long shadow cast by computational complexity that is quite negative about games. This analysis is the first step toward finding modeling aspects that might be used in AI ethics for integrating modern AI systems into human society.
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How do beliefs about gods vary across populations, and what accounts for this variation? We argue that appeals to gods generally reflect prominent features of local social ecologies. We first draw from a synthesis of theoretical, experimental, and ethnographic evidence to delineate a set of predictive criteria for the kinds of contexts with which religious beliefs and behaviors will be associated. To evaluate these criteria, we examine the content of freely-listed data about gods’ concerns collected from individuals across eight diverse field sites and contextualize these beliefs in their respective cultural milieus. In our analysis, we find that local deities’ concerns point to costly threats to local coordination and cooperation. We conclude with a discussion of how alternative approaches to religious beliefs and appeals fare in light of our results and close by considering some key implications for the cognitive and evolutionary sciences of religion.
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Since the earliest days of the social sciences, the relationship between religion and cooperation has been a central topic. In this chapter, we critically review some cultural evolutionary perspectives on religion and cooperation and consider how they frame the relationships among religious beliefs, behaviors, and the moral rules that motivate cooperation. We then offer an account of how religious systems can contribute to the stability of social life more generally, with cooperative dilemmas occupying a subset of a broader range of socioecological challenges that supernatural appeals might help resolve. We also provide a critical overview of popular methods used throughout much of the contemporary work on religion and cooperation. In doing so, we provide useful ways forward for testing how appeals to gods, spirits, and other supernatural forces can, in at least some cases, address locally important challenges to cooperation.
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Social desirability reporting leads to over estimations of church attendance. To date, researchers have treated over-reporting of church attendance as a general phenomenon, and have been unable to determine the demographic correlates of inaccuracy in these self-reports. By comparing over eight months of observational data on church attendance (n = 48 services) to self-report in a rural Fijian village, we find that 1) self-report does not reliably predict observed attendance, 2) women with two or more children (� 2) are more likely to over-report their attendance than women with fewer children (� 1), and 3) self-report of reli-giosity more reliably predicts observed church attendance than does self-report of church attendance. Further, we find that third-party judgements of church attendance by fellow villagers are more reliably associated with observed church attendance than self-report. Our findings suggest that researchers interested in estimating behavioral variation, particularly in domains susceptible to social desirability effects, should consider developing and employing third-party methods to mitigate biases inherent to self-report.
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Behavioral researchers increasingly recognize the need for more diverse samples that capture the breadth of human experience. Current attempts to establish generalizability across populations focus on threats to validity, constraints on generalization and the accumulation of large cross-cultural datasets. But for continued progress, we also require a framework that lets us determine which inferences can be drawn and how to make informative cross-cultural comparisons. We describe a generative causal modeling framework and outline simple graphical criteria to derive analytic strategies and implied generalizations. Using both simulated and real data, we demonstrate how to project and compare estimates across populations. We conclude with a discussion of how a formal framework for generalizability can assist researchers in designing more informative cross-cultural studies and thus provides a more solid foundation for cumulative and generalizable behavioral research.
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Cognitive and evolutionary research has overwhelmingly focused on the powerful deities of large-scale societies, yet little work has examined the smaller gods of animist traditions. Here, in a study of the Mentawai water spirit Sikameinan (Siberut Island, Indonesia), we address three questions: (1) Are smaller gods believed to enforce cooperation, especially compared to bigger gods in larger-scale societies? (2) Do beliefs in these deities encourage people to engage in behavior that would otherwise be perceived as costly? and (3) Does ritual reinforce beliefs in these deities? Drawing on interview responses, data from healing ceremonies, and ethnographic observation, we show that Sikameinan is believed to punish people who violate meat-sharing norms and that people ‘attacked’ by Sikameinan pay shamans to conduct healing rituals. The public nature of rituals, involving prestigious individuals apologizing to Sikameinan for the patient's stinginess, reinforce onlookers' beliefs about Sikameinan. The most widely shared beliefs about Sikameinan are represented in rituals while beliefs not represented vary considerably, indicating that ritual may be potent for cultural transmission. These results suggest that moralizing supernatural punishers may be more common than suspected and that the trend in the cultural evolution of religion has been an expansion of deities' scope, powers, and monitoring abilities.