Reasoning using graphical models is rapidly gaining popularity. Not just used in reasoning they are also becoming useful in computer vision where they are used to classify objects. Graphical models include: constraint networks, Markov random fields, belief networks, Bayes networks and influence diagrams. Traditionally algorithms for these networks have been either inference-based or search based. [...]