is a multi-million pound multi-disciplinary research project funded by a BAE Systems and EPSRC strategic partnership. It involves a number of leading research groups from Imperial College London, University of Southampton, University of Bristol, and Oxford University.

The project is concerned with developing mechanisms, architectures, and techniques to deal with the dynamic and uncertain nature of distributed and decentralised intelligent systems. Disaster management is the chosen application domain as the world faces an urgent need for better means to deal with such situations where a number of actors have to coordinate their activities when facing significant degrees of uncertainty and where the context is very dynamic.

Since the start of the project, a number of technologies have been developed to deal with:

• Multi-agent coordination -- We have developed a number of techniques to coordinate autonomous agents in dynamic and uncertain environments. These techniques range from using auction mechanisms to neural networks.

  Resource Allocation using Agent-based techniques	Building evacuation using Neural Networks
  (Check the 'Technologies' page to see some demos)

• Situational awareness using multi-sensor networks -- We have developed novel algorithms to allow agents to select the best sensors to gather readings in uncertain domains and to make predictions about sensor readings when sensors are likely to fail. We have also pioneered the use of the Generalised Covariance Union to detect faulty sensors over time.

  Detecting Faulty Sensors	Sensor Reading Predictions
  (Check the 'Technologies' page to see some demos)

Please check out our Technologies page for a description of the latest demos that the project has produced.