April 2021
Intermediate to advanced
368 pages
9h 25m
English
book
Cognitive Engineering for Next Generation Computing
by Kolla Bhanu Prakash, G. R. Kanagachidambaresan, V. Srikanth, E. Vamsidhar
Content preview from Cognitive Engineering for Next Generation Computing
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1Introduction to Cognitive Computing
Vamsidhar Enireddy*, Sagar Imambi† and C. Karthikeyan‡
Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India
Abstract
Cognitive computing is an interdisciplinary subject that brings under its umbrella several techniques such as Machine learning, big data analytics, artificial intelligence, analytics, natural language processing, and probability and statistics to gather information and understand it using different senses and learning from their experience. Cognitive computing helps humans in taking the right decisions at a right time helping the people to grow in their respective fields. In this chapter, we are going to discuss cognitive computing and the elements involved in it. Further, we will learn about the components and hypothesis generation and scoring of it.
Keywords: Artificial intelligence, cognition, cognitive computing, corpus, intuitive thinking, hypothesis generation, machine learning
1.1 Introduction: Definition of Cognition, Cognitive Computing
The term Cognition is defined as “The procedure or the method of acquiring information and understanding through experience, thought and the senses” [1]. It envelops numerous parts of procedures and intellectual functions, for example, development of information, thinking, reasoning, attention, decision making, evaluating the decisions, problem-solving, computing techniques, judging and assessing, critical thinking, conception,
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