Language Evolution and Computation Bibliography

We consider communication when there is no agreement about symbols and meanings. We treat it within the framework of reinforcement learning. This framework enables us to talk about emotional coupling and to consider the emergence of communication. We apply different reinforcement learning models in our studies and simplify the problem as much as possible. We show that the modelling of the other agent is insufficient in the simplest possible case, unless the intentions can also be modelled. The model of the agent and its intentions enable quick agreements about symbol-meaning association. We show that when both agents assume an intention model about the other agent then the symbol-meaning association process can be spoiled and symbol meaning association may become hard.