two-level influence model
Learning Influence among Interacting Markov Chains
Zhang, Dong, Gatica-perez, Daniel, Bengio, Samy, Roy, Deb
We present a model that learns the influence of interacting Markov chains within a team. The proposed model is a dynamic Bayesian network (DBN) with a two-level structure: individual-level and group-level.
Learning Influence among Interacting Markov Chains
Zhang, Dong, Gatica-perez, Daniel, Bengio, Samy, Roy, Deb
We present a model that learns the influence of interacting Markov chains within a team. The proposed model is a dynamic Bayesian network (DBN) with a two-level structure: individual-level and group-level.
Learning Influence among Interacting Markov Chains
Zhang, Dong, Gatica-perez, Daniel, Bengio, Samy, Roy, Deb
In multi-agent systems, individuals within a group coordinate and interact to achieve a goal.