A hybrid neuro-symbolic problem-solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in ...
Abstract. We present an improved adaptive approach for studying systems of ODEs affected by parameter variability and state space uncertainty. Our approach is based on a reformulat...
In the context of large decentralized many-to-many communication systems it is impractical to provide realistic and hard bounds for certain QoS metrics including latency bounds. Ne...
M. Adnan Tariq, Boris Koldehofe, Gerald G. Koch, K...
As cloud computing environments become explosively popular, dealing with unpredictable changes, uncertainties, and disturbances in both systems and environments turns out to be on...
To facilitate the design of large-scale, self-adaptive systems, we have developed the Port-Based Adaptable Agent Architecture. This distributed, multiagent architecture allows syst...
Kevin R. Dixon, Theodore Q. Pham, Pradeep K. Khosl...