BRIDGING GAP BETWEEN ARTIFICIAL INTELLIGENCE AND MULTIPLE INTELLIGENCE- AN OVERVIEW
Keywords:
Intelligence, AI, Multiple IntelligenceAbstract
Defining intelligence in an unorthodox manner is “what intelligence tests test?”: Normally, humans link mental testing scores i.e., IQ with intelligence which focuses primarily on logics, mathematics and over language skills. The MIT also known as Multiple Intelligence theory of 1983, proposed by Howard Gardner, a psychologist from America and Education and Cognition Professor at Harvard University, explains intelligence in a better way. The Multiple Intelligence theory proposes that various intelligence though each unique in type are in every individual who possess in variable degrees. This paper opens the opportunity to take advantages of both intelligences i.e. Multiple Intelligence & Artificial Intelligence. The paper presents a brief overview of how aspects of AI are gradually covering multiple intelligences is given below
References
Shneiderman, B. (2020a). Design lessons from AI’s two grand goals: human emulation and useful applications. IEEE Trans. Tech. Soc. 1, 73–82. doi:10. 1109/TTS.2020.2992669.
Gardner, h. (2016). 5 Minds for the Future. LA.
Shridhar Marri (2018), “Can super intelligence and emotional intelligence coexist?”, retrieved from http://www.forbesindia.com/blog/technology/can-superintelligence-and-emotional-intelligence-co-exist/
Sebastian Ulbert (2017), “The Difference Between Artificial Intelligence, General Intelligence, And Super Intelligence” retrieved from https://www.coresystems.net/blog/the-difference-between-artifical-intelligenceartifical-general-intelligence-and-artifical-super-intelligence
Séverin Lemaignan, Mathieu Warnier, E. Akin Sisbot, Aurélie Clodic, Rachid Alami (2016), “Artificial Cognition for Social Human Robot Interaction: An Implementation”, “Artificial Intelligence”, ISSN: 0004 – 3702, Volume 247, pp. 45 – 69.
John Markoff (2015), “Between Human and Machine”, “Machines of Loving Grace - The Quest for common found between humans and Robots.”, ISBN: 978-0- 06-226668-2, ch. 1, pp. 1 – 18.
Johnson, G., & Krusienski, D. (2018). The Fundamentals of Signal Processing for Evoked Potential BCIs:A guided Tutorials. In C. S. Nam, A. Nijholt, & F. Lotte, Brain - Computer Interface Handbook (pp. 397 - 406). Ohio: CRC Press
Randal A. Koene (2011), “AGI and Neuroscience: Open Sourcing the Brain”, “Artificial General Intelligence”, “e – ISSN: 1611 – 3349”, “DOI: 10.1007/978-3- 642-22887-2”
Roberts, R. (2018, April 8). A.I. and Multiple Intelligences. Retrieved from SCRIBAL MULTIVERSE: http://www.scribalmultiverse.com/a-i-and-multipleintelligences/
