Modeling Aspects of Theory of Mind with Markov Random Fields

We propose Markov random fields (MRFs) as a probabilistic mathematical model for incorporating the internal states of other agents, both human and robotic, into robot decision making. By using estimates of Theory of Mind (ToM), the “mental” states of other agents can be incorporated into decision making through statistical inference, allowing robots to… CONTINUE READING