Topic: opponent strategy

In social interactions, theory of mind (ToM) is postulated as the reason for why humans can successfully interact with novel people, given that everyone has beliefs, desires, and goals. Most ToM studies design explicit models to represent other agents’ mental states, using this to inform behavior. However, it is unclear whether or how ToM could emerge through learning to act in a social environment. We sought to identify network mechanisms of ToM in a recurrent neural network trained to play a competitive neuroscience task that requires ToM. The network, trained using deep reinforcement learni