How hierarchies of objects and constraints reduce complexity
Blaga N Iordanova · 2004
Hierarchies help learning clearance-categories of flights and organise these knowledge categories in hierarchical structures of objects and constraints. They reduce complexity by introducing levels of decomposition in hierarchical layers of learning objects of clearance-categories and in satisfying constraints. They lower complexity by stressing parallelism in learning and in the formation of concepts of clearances in response to requests. They reduce the search problem into a decision problem.