Inference and Prediction of Uncertain Events in Active Systems: A Language and Execution Model (PhD Poster) Segev Wasserkrug   View Paper (PDF)   Return to Advanced Models and Languages/Architectures for Data Analysis (Session D3) Abstract This paper presents initial research into a framework (specification and execution model) for inference, prediction, and decision making with uncertain events in active systems. This work is motivated by the observation that in many cases, there is a gap between the reported events that are used as a direct input to an active system, and the actual events upon which an active system must act. This paper motivates the work, surveys other efforts in this area, and presents preliminary ideas for both specification and execution model. ©2004 Association for Computing Machinery