Research suggests that the mind contains a set of adaptations for detecting alliances: an alliance detection system, which monitors for, encodes, and stores alliance information and then modifies the activation of stored alliance categories according to how likely they will predict behavior within a particular social interaction. Previous studies have established the activation of this system when exposed to explicit competition or cooperation between individuals. In the current studies we examine if shared political opinions produce these same effects. In particular, (...) if participants will spontaneously categorize individuals according to the parties they support, even when explicit cooperation and antagonism are absent, and if party support is sufficiently powerful to decrease participants’ categorization by an orthogonal but typically-diagnostic alliance cue . Evidence was found for both: Participants spontaneously and implicitly kept track of who supported which party, and when party cross-cut race—such that the race of targets was not predictive of party support—categorization by race was dramatically reduced. To verify that these results reflected the operation of a cognitive system for modifying the activation of alliance categories, and not just socially-relevant categories in general, an identical set of studies was also conducted with in which party was either crossed with sex or age . As predicted, categorization by party occurred to the same degree, and there was no reduction in either categorization by sex or by age. All effects were replicated across two sets of between-subjects conditions. These studies provide the first direct empirical evidence that party politics engages the mind’s systems for detecting alliances and establish two important social categorization phenomena: that categorization by age is, like sex, not affected by alliance information and that political contexts can reduce the degree to which individuals are represented in terms of their race. (shrink)

Models of ethnic violence have primarily been descriptive in nature, advancing broad or particular social and political reasons as explanations, and neglecting the contributions of individuals as decision-makers. Game theoretic and rational choice models recognize the role of individual decision-making in ethnic violence. However, such models embrace a classical economic theory view of unbounded rationality as utility-maximization, with its exacting assumption of full informational access, rather than a model of bounded rationality, modeling individuals as satisficing agents endowed with evolved domain-specific (...) competences. A newer theoretical framework hypothesizing the existence of a human coalitional psychology, an evolved domain of competence, allows us to make sense of core features of memorial narratives about ethnic violence. Qualitative data from the interviews of fifty-seven participants who were impacted by the Croatian Homeland War support expectations entailed by a coalitional psychology model of ethnic strife. (shrink)

We don't yet have adequate theories of what the human mind is representing when it represents a social group. Worse still, many people think we do. This mistaken belief is a consequence of the state of play: Until now, researchers have relied on their own intuitions to link up the conceptsocial groupon the one hand and the results of particular studies or models on the other. While necessary, this reliance on intuition has been purchased at a considerable cost. When looked (...) at soberly, existing theories of social groups are either (i) literal, but not remotely adequate (such as models built atop economic games), or (ii) simply metaphorical (typically a subsumption or containment metaphor). Intuition is filling in the gaps of an explicit theory. This paper presents a computational theory of what, literally, a group representation is in the context of conflict: It is the assignment of agents to specific roles within a small number of triadic interaction types. This “mental definition” of a group paves the way for acomputational theory of social groups– in that it provides a theory of what exactly the information-processing problem of representing and reasoning about a group is. For psychologists, this paper offers a different way to conceptualize and study groups, and suggests that a non-tautological definition of a social group is possible. For cognitive scientists, this paper provides a computational benchmark against which natural and artificial intelligences can be held. (shrink)