New project: Bayesian Artificial Intelligence for Decision Making under Uncertainty

Anthony Constantinou - a lecturer based in the Risk and Information Management Group at Queen Mary University of London - has been awarded a prestigious 3-year EPSRC Fellowship Grant £475,818 in partnership with Agena Ltd to develop open-source software that will enable end-users to quickly and efficiently generate Bayesian Decision Networks (BDNs) for optimal real-world decision-making. BDNs are Bayesian Networks augmented with additional functionality and knowledge-based assumptions to represent decisions and associated utilities that a decision maker would like to optimize. BDNs are suitable for modelling real-world situations where we seek to discover the optimal decision path to maximise utilities of interest and minimise undesirable risk.

A full description of the project can be found here. The EPSRC announcement is here.
 
Links

• Anthony Constantinou home page
• Bayesian Artificial Intelligence for Decision Making under Uncertainty
• Risk and Information Management Group
• Agena Ltd: Bayesian network software for risk analysis and decision making