We believe that navigation in information spaces is best supported by tapping into our natural spatial and geographic ways of thinking. To this end, we are developing a new comput...
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
In spatial graphs with a vast number of nodes, it is difficult to compute a solution to graph optimisation problems. We propose an approach using meta-level agents for multi-agents...
We present novel intelligent tools for mining 3D medical images. We focus on detecting discriminative Regions of Interest (ROIs) and mining associations between their spatial distr...
Distributed applications execute in environments that can include different network architectures as well as a range of compute platforms. Furthermore, these resources are shared ...