
Managing Belief Uncertainty in Models
We show how domain experts can individually reason about their models and combine their opinions to reach a consensus on the models and objects they are modeling
We show how domain experts can individually reason about their models and combine their opinions to reach a consensus on the models and objects they are modeling
We propose to take advantage of the advances in Artificial Intelligence and, in particular, Long Short-Term Memory Neural Networks (LSTM), to automatically infer heterogeneous model transformations from sets of input-output model pairs.
We present a conceptual reference framework to identify the foundations for intelligent modeling assistance as well as the open challenges and the opportunities they bring to the modeling world.