Considering a learning model for communication based on reinforcement learning

Humans communicate with each other using language, sign language, gesture, etc. However, even if movement patterns that represent intentions have already been acquired, one should select those movement patterns that correspond to the desired intention to be communicated. We propose a model based on reinforcement learning for learning about the connections between intentions and movement patterns that are important for communication. We experimented that our model can acquire one-to-one mapping and also demonstrated communication between a human and a dog, using AIBO. As a result, proposed model suggested that can correctly learning for correspondence between intentions and movement patterns