Abstract A physical stochastic parameterization is adopted in this work to account for the effects of unresolved small-scale on large-scale flow dynamics. This random model based a transport principle, which ensures strong energy conservation. The dynamic mode decomposition (DMD) performed high-resolution data learn basis velocity field, expressed. Time-harmonic property DMD modes allows us per...

We propose an axiomatic approach which economically underpins the representation of dynamic intertemporal decisions in terms a utility function, randomly reacts to information available decision maker throughout time. Our construction is iterative and based on time dependent preference connections, whose characterization inspired by original intuition given Debreu’s State Dependent Utilities (1...

Information gathering while interacting with other agents under sensing and motion uncertainty is critical in domains such as driving, service robots, racing, or surveillance. The interests of may be at odds others, resulting a stochastic noncooperative dynamic game. Agents must predict others’ future actions without communication, incorporate their into these predictions, account for noise inf...