  Semiotic dynamics is a novel field that studies how semiotic conventions
spread and stabilize in a population of agents. This is a central issue both
for theoretical and technological reasons since large system made up of
communicating agents, like web communities or artificial embodied agents teams,
are getting widespread. In this paper we discuss a recently introduced simple
multi-agent model which is able to account for the emergence of a shared
vocabulary in a population of agents. In particular we introduce a new
deterministic agents' playing strategy that strongly improves the performance
of the game in terms of faster convergence and reduced cognitive effort for the
agents.
