Cognitive Computing for Augmented Human Intelligence
Papers from the 2014 AAAI Workshop
Biplav Srivastava, Aurelie Lozano, Janusz Marecki, Irina Rish, Ruslan Salakhudtinov, Gerald Tesauro, Manuela Veloso, Workshop Organizers
Technical Report WS-14-03
Softcover version of the technical report: $25.00 softcover
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"Cognitive computing" is an emerging research topic inspired by a vision of how the unification described above could lead to a new generation of computing systems enabling genuine human-machine collaboration. According to this vision, we may soon be able to build computing systems capable of understanding high-level objectives specified by humans in a natural language, autonomously learning how to achieve the objectives from data in the domain, reporting results back to humans, and iterating the interactions via sequential dialog until the objectives are achieved. As building and deploying such systems may require major platform improvements with respect to size, power usage, and others, there is also a significant focus in cognitive computing on alternative hardware, such as brain-inspired or other non-von Neumann architectures.
Unlike expert systems of the past, which required inflexible I/O and hard-coded expert rules, cognitive computing systems will process natural language and unstructured data and learn by experience, much in the same way humans do. They will utilize deep domain expertise to provide decision support and help humans make better decisions based on available data, whether in healthcare, finance or customer service.
In traditional AI, humans are not part of the equation, yet in cognitive computing, humans and machines work together. To enable natural interaction, cognitive computing systems use image and speech/audio recognition as eyes and ears to perceive the world and interact more seamlessly with humans. By using visual analytics and data visualization techniques, cognitive computers can display insights from data in a visually compelling way. This sets up a feedback loop wherein machines and humans may learn from each other.