One of the key characteristics of Cognitive Systems (CS) is that they have the ability to interact and interface with human beings with natural language in a similar as possible manner to human interactions. The systems are capable of learning and thinking from the stochastic environmental context as well as historical data inputs. The systems should be able to quickly evolve from dependency on the structured data inputs (traditional computing) to semi-structured and unstructured data inputs very similar to the human interface.
We have already seen in the chapter on fuzzy systems that the systems based on AI should be trainable to accept fuzzy inputs in a natural format without any cleansing or harmonizing. Since Cognitive Systems interact with human beings in a natural way, they can extend and amplify human capabilities with an added advantage of brute-force and a virtually unlimited amount of data storage capabilities.
As we have seen in the introductory section in this...