Memory-based Representation and Reasoning for Intelligent Systems
Dr. Manny Aparicio
Beyond artificial intelligence, traditional statistics, or even neural network modeling, associative memories are now being understood as the basis for "real intelligence" in humans and for the development of intelligent machines. Memory-based representation and reasoning are currently being applied to predictive analytics and entity analytics across a number of industries. An emerging industry is proposed for the future of data analysis and the Semantic Web.