Personal Health (pHealth) sensor networks are generally used to monitor the wellbeing of both athletes and the general public to inform health specialists of future and often seri...
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
The sheer volume and complexity of government regulations make any attempt to locate, understand and interpret the information a daunting task. Other factors, such as the scattere...
We investigate coordination issues in a distributed jobshop scheduling system in which agents schedulepotentially contentious activities asynchronously in parallel. Agents in such...
Parallel changes are becoming increasingly prevalent in the development of large scale software system. To further study the relationship between parallel changes and faults, we h...