Cognitive Informatics: Towards Future Generation Computers that Think and Feel

This keynote lecture presents a set of the latest advances in cognitive informatics (CI) that leads to the design and implementation of future generation computers known as the cognitive computers that are capable of thinking and feeling. The theory and philosophy behind the next generation computers and computing technologies are CI. The theoretical framework of CI may be classified as an entire set of cognitive functions and processes of the brain and an enriched set of descriptive mathematics, the cognitive computers are created for cognitive and perceptible concept/knowledge processing based on contemporary mathematics such as concept algebra, real-time process algebra, and system algebra. Because the cognitive computers implement the fundamental cognitive processes of the natural intelligence such as the learning, thinking, formal inference, and perception processes, they are novel information processing systems that think and feel. The cognitive computers are centered by the parallel inference engine and perception engine that implement autonomic learning/reasoning and perception mechanisms based on descriptive mathematics