Mutual influence between language and perception in multi-agent communication games
Fig 9
Mean reward on the test set for two agents of different bias types communicating with each other.
For each sender-receiver combination, we ran twenty simulations. To obtain the average reward for an agent of bias type t′ communicating with an agent of bias type t, we average the rewards of the combinations t′-sender/t-receiver and t-sender/t′-receiver, hence the matrices are symmetric. We highlight the results for the combinations where both agents are biased towards all relevant attributes. (A) shows the mean test rewards for agents with t′, t ∈ {default, color, scale, shape, all} in the basic reference game where all attributes (color, scale, shape) are relevant. (B) shows the mean test rewards for agents with mixed biases t′, t ∈ {color-scale, color-shape, scale-shape} for reference games where out of the three attributes either color (left), scale (center), or shape (right) is not relevant.