Interacting Stochastic Systems with Agent-Based Sampling and Connection-Based Reinforcement
We introduce a general class of interacting reinforced stochastic systems evolving on a network. The dynamics are governed by two distinct interaction structures: a sampling network, which determines how information is acquired, and a reinforcement network, which determines how the sampled information influences future...