Mutual influence between language and perception in multi-agent communication games
Fig 7
Influence of linguistic biases on perception.
Shown are the effects of language learning and language emergence on a default agent, when paired with agents of different visual bias conditions. The left column covers the language learning scenario with a default receiver, the central column the language emergence scenario with a default receiver, and the right column the language emergence scenario with a default sender. In the language learning scenario, the sender’s weights (and therefore also the language) are entirely fixed. In the language emergence scenario, both agents are trained and the language emerges. The visual bias of the communication partner is shown on the x-axis. The top row shows the RSA scores between the default agent’s visual representations and each object attribute—indicated by the bar label—after training. Attributes that were enforced to create the visual bias of the communication partner are dark gray. The bottom row shows the RSA scores between the visual representations of the default agent and those of its communication partner before (light gray) and after (dark gray) training. Reported are means and bootstrapped 95% CIs of ten runs each.