Pattanayak, Anindya, Dutta, Tanusree, Pranjal, Piyush, Singh, Pushpendra, Sahoo, Pathik, Sarkar, Soumya and Bandyopadhyay, Anirban (2022) Cognitive engineering for AI: An octave drawing test for building a mathematical structure of a subconscious mind. In: Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, October 21–22, 2021, Online by Universiti Tun Hussein Onn Malaysia.
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Abstract
Since the 1920s, drawing tests have been used to measure intelligence, maturity, and personality: in the later parts of the twentieth century, drawing tests were extended to estimate depression, schizophrenia, and the degree of Alzheimer's. However, despite extensive literature on cognitive engineering, there is no grammar as generic rules for explaining drawing tests. Most inferences are drawn based on experiences, intuitions, and medical test confirmations. Here, we propose a set of eight tests to correlate fundamental rules of subconscious minds of a human subject follows based on which it constructs logical constructs for solving a problem. Based on the studies carried out on human subjects, we have proposed invariants or conservations across human subjects to interpret the drawing results and build technologies. Thus far, cognitive technologies of subconscious minds were limited to explore criminal minds. Our test protocol reveals generic rules of subconscious minds for engineering cognitive AI machines.
Item Type: | Conference or Workshop Item (Paper) |
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Keywords: | Cognitive technology | Subconscious mind | Artificial intelligence | Time crystal Sociology |
Subjects: | Social Sciences and humanities > Business, Management and Accounting > Management of Technology and Innovation |
JGU School/Centre: | Jindal Global Business School |
Depositing User: | Mr. Syed Anas |
Date Deposited: | 23 Mar 2022 14:17 |
Last Modified: | 09 Apr 2022 06:22 |
Official URL: | https://doi.org/10.1007/978-981-16-7597-3_11 |
Funders: | MHRD, Government of India, India |
URI: | https://pure.jgu.edu.in/id/eprint/1775 |
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