Propagate more accurate confidence value in pursuit

[lichtefeld]

Currently Pursuit's confidence values are the internal scores used for the algorithm this presents two problems:

• Initial confidence values start out very low (e.g. around 2%) as this score is also used to determine if something should enter the official lexicon rather than a more competitive learning stage. A more better representation of the internal confidence of known patterns would be the ratio between the specific pattern's score and the maximum score of all potential patterns for that concept.
• We don't currently have an easy-to-extend method to determine which of the exact patterns was the one matched, I only easily have access to the global concept. For now the return value will simply be the maximum internal score for the concept.