Particle swarm theory suggests that both minds and cultures are effects of
local social interaction. This paper proposes a social-psychological view o
f intelligence as immerging from culture, which emerges from social interac
tion. A framework for the depiction of mental states is presented, and the
optimizing effect of social interaction is demonstrated. Simulated beings c
alled eleMentals are shown to be able to find optimal regions in their NK-l
andscape minds through an algorithm comprising two terms: a "Law of Effect"
term that represents reinforcement learning, or learning from experience,
and a social influence term. The model is consistent with social-psychologi
cal data and theory, and the results support a hypothesis that human social
ity may be in part responsible for human intelligence.