We present an investigation into how representational losses can affect the drawings produced by artificial agents playing a communication game.
Evidence that visual communication preceded written language and provided a basis for it goes back to prehistory, in forms such as cave and rock paintings depicting traces of our distant ancestors.
The majority of work has focused on using fixed, pretrained image feature extraction networks which potentially bias the information the agents learn to communicate.
There has been an increasing interest in the area of emergent communication between agents which learn to play referential signalling games with realistic images.
Colour vision has long fascinated scientists, who have sought to understand both the physiology of the mechanics of colour vision and the psychophysics of colour perception.