Recent work demonstrates the potential for extracting patterns from users' behavior as detected by sensors. Since there is currently no generalized framework for reasoning abo...
Nasim Mahmud, Jo Vermeulen, Kris Luyten, Karin Con...
To gain a deeper understanding of the impact of spatial embedding on the dynamics of complex systems we employ a measure of interaction complexity developed within neuroscience us...
Christopher L. Buckley, Seth Bullock, Lionel Barne...
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
We propose a settlement mechanism for optimally scheduling real time electricity consumption which is suitable for an automated demand response control system. Our proposed settlem...
Anthony Papavasiliou, Haitham Hindi, Daniel Greene
Abstract-- This paper demonstrates the effectiveness of simple control-theoretic tools in generating simulation-guided experiments on a synthetic in vitro oscillator. A theoretical...
Christopher Sturk, Elisa Franco, Richard M. Murray