Journal of Machine and Computing

Human Intelligence and Value of Machine Advancements in Cognitive Science A Design thinking Approach

Journal of Machine and Computing

Received On : 12 October 2022

Revised On : 24 January 2023

Accepted On : 26 February 2023

Published On : 05 April 2023

Volume 03, Issue 02

Pages : 159-170


Latent Semantic Analysis (LSA) is an approach used for expressing and extracting textual meanings using statistical evaluations or modeling applied to vast corpora of text, and its development has been a major motivation for this study to understand the design thinking approach. We introduced LSA and gave some instances of how it might be used to further our knowledge of cognition and to develop practical technology. Since LSA's inception, other alternative statistical models for meaning detection and analysis in text corpora have been created, tested, and refined. This study demonstrates the value that statistical models of semantics provide to the study of cognitive science and the development of cognition. These models are particularly useful because they enable researchers to study a wide range of problems pertaining to knowledge, discourse perception, text cognition, and language using expansive representations of human intelligence.


Latent Semantic Analysis, Human Cognition, Human Intelligence, Statistical Models, Working Memory, Design Thinking, Man and Machine.

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The authors would like to thank to the reviewers for nice comments on the manuscript.


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Akshaya V S, Beatriz Lucia Salvador Bizotto, Mithileysh Sathiyanarayanan, “Human Intelligence and Value of Machine Advancements in Cognitive Science A Design thinking Approach”, Journal of Machine and Computing, pp. 159-170, April 2023. doi: 10.53759/7669/jmc202303015.


© 2023 Akshaya V S, Beatriz Lucia Salvador Bizotto, Mithileysh Sathiyanarayanan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.