Cognitive Compuetr Seminar Report
Cognitive Computing is a study of top-down, global, unifying theories that explain observed cognitive
phenomena (“mind”), that are consistent with known bottom-up neurobiological facts (the “brain”), that are computationally feasible (for example, implement-able on a BlueGene), and that are mathematically principled. Cognitive Computing is a search for computer science-type software/hardware elements that are consistent with known neurobiological facts about the brain and give rise to observed mental processes of perception, memory, language, intelligence, and, eventually, consciousness. Very simply speaking, Cognitive Computing is when computer science meets neuroscience to explain and implement psychology. We have, in the brain and nervous system, an information processing system unrivalled by artificial means. While it trails machines in accuracy and mathematical computation, it wins on adaptability, flexibility, functionality, and parallelism. The ultimate goal is to reverse engineer enough of this system so that the design principles can be applied to building robust and adaptable computer systems.
  1. Purpose of Cognitive Computing
  2. The Future of Cognitive Computing
  3. The Growth of Cognitive Modeling in Human Computer Interaction
  4. Introduction to Computational Cognitive Modeling
  5. Applications Of Cognitive Computing
  6. Cognitive Computer Chip Development
  7. Cognitive Computer Psycology
  8. Cognitive System Development  


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