On the influence of intelligence in (social) intelligence testing
  environments
  This paper analyses the influence of including agents of different degrees of
intelligence in a multiagent system. The goal is to better understand how we
can develop intelligence tests that can evaluate social intelligence. We
analyse several reinforcement algorithms in several contexts of cooperation and
competition. Our experimental setting is inspired by the recently developed
Darwin-Wallace distribution.
