The following screenshot shows an example of a deep Belief Network used for evidential reasoning. This particular Belief Network was used for determining the probability of a satellite collision.




The following screenshot shows the result of extracting information from a textual input. The result consists of answers to the Reporters Questions (Who, Where, What, Why, How, and When). This provides the basis for determining the evidence needed for a BN.




The following screenshot shows the KnowledgeTree home screen. It displays the characteristics of a potential source of evidence to be extracted by the Information Extraction program.




The following screenshot shows the result of a Rule Induction algorithm used to visualize the tree structure of a database of evidence.




The following screenshot shows the Rules view of a Rule Induction processing of a climate change database.



The following screenshot shows the Rule Tree view of a Rule Induction processing of the same climate change database.




The following screenshot shows a Nomogram used to determine the optimum use of on-board assets of a satellite to avoid a collision with another satellite.




The following screenshot shows the Mission Manager control screen for a interstellar voyage.




The following screenshot shows the current situation of a potential collision of a high speed spacecraft on a collision course wth interstellar debris.