Blackboard Architecture

Blackboard architecture is a knowledge-representation paradigm that facilitates problem-solving by integrating diverse knowledge sources and reasoning methods. Current research emphasizes enhancing its capabilities through techniques like gradient descent training for improved defensibility and efficiency, and incorporating novel data structures such as containers and links to better model complex relationships between data elements. This work aims to improve the architecture's scalability and applicability to complex tasks, impacting fields such as natural language processing and real-time object recognition by enabling more robust and adaptable intelligent systems.