The Stochastic Agents Group at Imperial College London is involved in research on modeling and application of agent technologies for solution of a wide range of problems of current and future interest.
We have a particular interest in novel agent models based on a stochastic framework for efficient simulation and analysis of large-scale agent systems.
We are actively involved in the following collaborative research projects with Government and Industry:
- ALADDIN, in collaboration with British Aerospace Systems and EPSRC
- We develop methods to compute the equilibrium behaviour of
large agent teams which interact in a stochastic environment. We
study the effect of heuristic algorithms and of locally optimal
solutions on large scale system behaviour. To this effect, we
develop models based on Chapman-Kolmogorov equations and on
optimal control. System oscillations and their stabilisation are
considered. The research is applied to issues related to emergency
management and control of its effects.
We have also developped a Distributed Building Evacuation Simulator (DBES), which addresses the simulation of emergency response scenarios. - Future Data Fusion Systems (2003-2006) and C2 Agents (2006-2009)
- This project develops methods that help to automate decision making processes for adversarial agents by fusing different types of information, such as objectives, environmental characteristics, capabilities of different agents and teams, and threats. These methods can also be used to assess the efficacy of different decisions based on the measurable technical characteristics and capabilities of the agent teams. The impact of the Network Enabled Capabilities (NEC) of the agent teams is also included in the decision process.