Biasing the search for Bayesian Networks Fay, A. and Jaffray,F.-Y .
Causality has a natural representation in the form of Directed Acyclic Graphs.
Causal associations have been represented in the framework of Bayesian Networks and Possibilistic Causal Networks and also by means of special logics. There is a growing interest both in defining more precisely the causal semantics equivalences of the existing representations as well as in developing efficient methods for reasoning and learning that could be used in practical applications. The workshop will focus on several topics on this area, basically in properties of causal networks related to inference and learning methods. Participants are encouraged to submit descriptions of work in progress specially in the areas of learning and practical application but not limited to these ones. We expect the number of participants to be around 20, and attendance will not be limited to active participants.