Multi-context systems can be used to represent contextual information and inter-contextual information flow. We show that the local model semantics of a multi-context system is co...
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
We have developed a simulator to help with the design and evaluation of assistive interfaces. The simulator can predict possible interaction patterns when undertaking a task using...
— While multicast has been studied extensively in many domains such as content streaming and file sharing, there is little research applying it to synchronous collaborations invo...
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...