Coordinated policy action and flexible coalitional psychology: How evolution made humans so good at politics

The observation that politics makes strange bedfellows may be hackneyed, but it is also often true: Politicians and other actors in the policy process routinely align themselves on specific issues with actors with whom they otherwise have broad disagreements. This fits with social psychological research showing that humans have a coalitional psychology that is remarkably flexible, allowing us to feel strong bonds toward the coalitions to which we belong but to also break those bonds and move on to new coalitions when circumstances change. How is this flexibility possible? Here we examine the possible ways in which evolutionary forces helped shape our species’ trademark flexible coalitional psychology, focusing in particular on gene-culture coevolution and cultural group selection. We conclude with some examples of coordinated policy action among erstwhile foes in contemporary politics.     

Toward a New Covenant: Embracing a Dialogue and Decision Culture to Address the Challenges of the Agoras of the 21st Century

Twenty-first century agoras, unlike their historical counterparts, are not comprised of villages populated by individuals who know each other and share the same past, environment, and culture. Contemporary agoras are diverse and global. Their dialogue is often conducted across geographical and cultural boundaries. Additionally, they often address challenges and issues that are far more complex than those of the early agoras. This article seeks to identify such challenges and summarize a variety of appropriate dialogue methodologies.     

A “Wife’s Duty” and Social Suffering: Sexual Assault in Marital Relationships in Vietnam

ABSTRACT

Sexual assault in marital relationships tends to be somewhat neglected in Vietnam compared to other forms of domestic violence. This relative neglect does not occur because of a lack of concern for abused women among Vietnamese people. Rather, it is due to structural barriers, cultural assumptions and stigma associated with sexuality, sexual violence, domestic violence, and secrecy, or misunderstanding on the part of many abused Vietnamese women. Yet, these women confront a variety of emotional, bodily, and social assaults from their husbands. Suffering is commonly expressed by abused Vietnamese women as they narrate their experiences of the violence. Abused women express their suffering as bodily and emotional pain, shame, frustration, disorientation, and social marginalization. Contemporary marital sexual violence and domestic violence more broadly in Vietnam are linked to the state’s emergent political and economic goals, as well as gender and kinship ideologies drawn upon in support of these goals. These processes have resulted in abused women experiencing social suffering derived from intersecting Vietnamese state, cultural, and social forces. I suggest institutional practices, and non-supportive perspectives and approaches of some professionals and state employees assisting abused women, have made addressing marital sexual violence a difficult and painful process, as well as an additional source of suffering. Second, layered upon these structural and cultural barriers has been the neglect by some professionals of intersecting inequalities based on gender, class, and disability. Third, some institutions in Vietnam provide more effective and beneficial assistance to abused women, making the process of acquiring assistance complex.     

Network Connectivity Dynamics,Cognitive Biases,and the Evolution of Cultural Diversity in Round-Robin Interactive Micro-Societies

The distribution of cultural variants in a population is shaped by both neutral evolutionary dynamics and by selection pressures. The temporal dynamics of social network connectivity, that is, the order in which individuals in a population interact with each other, has been largely unexplored. In this paper, we investigate how, in a fully connected social network, connectivity dynamics, alone and in interaction with different cognitive biases, affect the evolution of cultural variants. Using agent-based computer simulations, we manipulate population connectivity dynamics (early, mid, and late full-population connectivity); content bias, or a preference for high-quality variants; coordination bias, or whether agents tend to use self-produced variants (egocentric bias), or to switch to variants observed in others (allocentric bias); and memory size, or the number of items that agents can store in their memory. We show that connectivity dynamics affect the time-course of variant spread, with lower connectivity slowing down convergence of the population onto a single cultural variant. We also show that, compared to a neutral evolutionary model, content bias accelerates convergence and amplifies the effects of connectivity dynamics, while larger memory size and coordination bias, especially egocentric bias, slow down convergence. Furthermore, connectivity dynamics affect the frequency of high-quality variants (adaptiveness), with late connectivity populations showing bursts of rapid change in adaptiveness followed by periods of relatively slower change, and early connectivity populations following a single-peak evolutionary dynamic. We evaluate our simulations against existing data collected from previous experiments and show how our model reproduces the empirical patterns of convergence.     

Inferring Behavior From Partial Social Information Plays Little or No Role in the Cultural Transmission of Adaptive Traits

Many human cultural traits become increasingly beneficial as they are repeatedly transmitted, thanks to an accumulation of modifications made by successive generations. But how do later generations typically avoid modifications which revert traits to less beneficial forms already sampled and rejected by earlier generations? And how can later generations do so without direct exposure to their predecessors' behavior? One possibility is that learners are sensitive to cues of non-random production in others' behavior, and that particular variants (e.g., those containing structural regularities unlikely to occur spontaneously) have been produced deliberately and with some effort. If this non-random behavior is attributed to an informed strategy, then the learner may infer that apparent avoidance of certain possibilities indicates that these have already been sampled and rejected. This could potentially prevent performance plateaus resulting from learners modifying inherited behaviors randomly. We test this hypothesis in four experiments in which participants, either individually or in interacting dyads, attempt to locate rewards in a search grid, guided by partial information about another individual's experience of the task. We find that in some contexts, valid inferences about another's behavior can be made from partial information, and these inferences can be used in a way which facilitates trait adaptation. However, the benefit of these inferences appears to be limited, and in many contexts—including some which have the potential to make inferring the experience of another individual easier—there appears to be no benefit at all. We suggest that inferring previous behavior from partial social information plays a minimal role in the adaptation of cultural traits.     

Monotone Quantifiers Emerge via Iterated Learning

Natural languages exhibit many semantic universals, that is, properties of meaning shared across all languages. In this paper, we develop an explanation of one very prominent semantic universal, the monotonicity universal. While the existing work has shown that quantifiers satisfying the monotonicity universal are easier to learn, we provide a more complete explanation by considering the emergence of quantifiers from the perspective of cultural evolution. In particular, we show that quantifiers satisfy the monotonicity universal evolve reliably in an iterated learning paradigm with neural networks as agents.     

Aggregate temperament scores from multiple countries: Associations with aggregate personality traits,cultural dimensions,and allelic frequency

Aggregate temperament scores were calculated across 17 studies for 18 countries. These scores were analyzed in relation to aggregate personality scores, cultural orientation, and allelic distribution reported in prior studies. Cross-culture patterns were largely consistent with those previously reported for personality: countries high on Surgency (SUR) were high on Extraversion, high Negative Affectivity (NEG) was consistent with Neuroticism, and Regulatory Capacity (RC) with Agreeableness. Regarding cultural orientation, aggregate SUR was associated with low Power Distance and Long-Term Orientation; NEG with low Individualism and high Masculinity and Uncertainty Avoidance; and RC with low Power Distance and Masculinity. Higher proportion of MAOA-uVNTR low expression alleles was associated with low SUR and low RC; and A118G G-form allele proportion with low RC.