Enabling interactions of agent-teams and humans is a critical area of research, with encouraging progress in the past few years. However, previous work suffers from three key lim...
Nathan Schurr, Janusz Marecki, N. Kasinadhuni, Mil...
Computer programming of complex systems is a time consuming effort. Results are often brittle and inflexible. Evolving, self-learning flexible multi-agent systems remain a distant ...
We show that temporal logic and combinations of temporal logics and modal logics of knowledge can be effectively represented in artificial neural networks. We present a Translat...
Abstract. Technology to support care at home is a promising alternative to traditional approaches. However, home care systems present significant technical challenges. For example,...
Decoupling flexible, scalable and asynchronous nature of publish/subscribe systems makes them a good choice for the mobile wireless domain. Our research investigates the applicati...