IJSTR >> Volume 9 - Issue 6, June 2020 Edition

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AUTHOR(S)

Yuvaraj S, Dr Vijay Franklin J, Kiruthikaa K V, Ramya R, Kanimozhi T

KEYWORDS

Cognitive computing, cognitive analytics, cognitive informatics, denotational mathematics, game theory, machine learning and visual analytics.

ABSTRACT

Cognitive computing is the field of study on intelligent computing which provides the computational intelligence by mimicking the process of brain. Decision making is a part of cognitive process in which a course of actions are chosen from the opportunities based on given criteria. Generally the decisions are made by the intelligent support system that have the potential to transform the human decision making capacity to systems with the help of fields like artificial intelligence, system engineering, machine learning techniques. This paper provides an insight on cognitive computing and its historical perspectives followed by various methodologies to implement algorithms in machine learning for intelligent decision making. Further, methodologies based on cognitive informatics models such as LRMA and OAR and the denotational mathematics for effective knowledge processing are also discussed. It also provides the information on visual analytics and cognitive analytics in which the conceptual view framework and its challenges are highlighted.

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