The Blackboard architectural pattern allows specialized subsystems to assemble their knowledge to build a partial or approximate solution for problems that have no known deterministic solution strategies. It involves a central control component that coordinates specialized programs working independently on a common blackboard data structure to share results for problems that require different representations and fields of expertise, such as speech recognition which involves acoustic, linguistic, and statistical domains.