Connecting human mind with machine learning: from a platonic approach

S. Shyni Carmel Mary; Dhyana Sharon Ross; Joe Arun

doi:10.31893/multiscience.2024ss0426

Keywords:

problem of universals

Universal AI (AIXI)

artificial deep neural network

artificial intelligence

machine learning

Abstract

The human mind has the superintelligence to instigate and provoke to do much scientific research and discover mysteries in the ancient world and the modern world. Human thoughts, feelings, and behaviors are the human mind’spowers that originate from the human brain.A brain has a network of cells that process information from both the internal and external environment to create our perception of who we are, how the world works, and how we interact with it. It is an endless searchand researchers are still investigating how this occurs.The humanbrain-like modelsdeveloped to behave like the human (human intelligence), called Artificial Intelligence, and Machine Learning. Human intelligence adapts to new settings by fusing different cognitive processes, whereasArtificial Intelligence is the machines builtto mimic human behavior and carry out human-like activities. This research paper aims to find the connection between humans(mind and brain) and Artificial Intelligence (Artificial Deep Neural Networks) from the method of the problem of universals. This has been explained with the platonic concepts for the concept of human intelligence andArtificial Neural Networks for Machine Intelligence, using traditional, mathematical, and real-time scenarios, with the factors like Properties, Uniqueness, Resemblance, and Relations, and the factors used to determine how humans and machines use intelligence in a known and unknown environment. Learning is necessary for intelligent behavior for the act of understanding things and events based on learning. A long-standing philosophical problem relates to induction or learning. Therefore, combining the intelligence of humans and machine learning is beneficial to understand the superiority of creation.
References
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to cite

Mary, S. S. C., Ross, D. S., & Arun, J. (2024). Connecting human mind with machine learning: from a platonic approach. Multidisciplinary Science Journal, 6, 2024ss0426. https://doi.org/10.31893/multiscience.2024ss0426

[1] Artz, J. (1998). Information modeling and the problem of universals: A preliminary analysis of metaphysical assumptions. In Proceedings of the Americas Conference on Information Systems (AMCIS) - AMCIS 1998 (p. 272).

[2] Augustine. (1993). On the free choice of the will (T. Williams, Trans.). Indianapolis, IN: Hackett.

[3] Artz, J. M. (2020). Information modeling and the problem of universals. In Information technology reference: In-depth information (Chapter 15). Retrieved from http://what-when-how.com/Tutorial/topic-1157i5l2aer/Distributed-Artificial-Intelligence-Agent-Technology-and-Collaborative-Applications-298.html

[4] Aubinet, S. (2022). The problem of universals in cross-cultural studies: Insights from Sámi animal melodies (yoik). Psychology of Music, 50(3). https://doi.org/10.1177/03057356211024346

[5] Aunger, R. (2010). What’s special about human technology. Cambridge Journal of Economics, 1. https://doi.org/10.1093/cje/bep018

[6] Bahlul, R. (2009). Avicenna and the problem of universals. Philosophy & Theology, 21(1-2).

[7] Barnes, J. (Ed.). (1984). The complete works of Aristotle. Princeton, NJ: Princeton University Press.

[8] Berkeley, G. (1982). A treatise concerning the principles of human knowledge. Indianapolis, IN: Hackett.

[9] Bickard, M. H., & Terveen, L. (1995). Foundational issues in artificial intelligence and cognitive science: Impasse and solution. Elsevier Science Publishers.

[10] Bonaventure, et al. (1883). De humanae cognitionis ratione: Anecdotaquaedam Seraphici Doctoris Sancti Bonaventurae et nunnulorum eius discipulorum. Ad Claras Aquas (Quaracchi): St. Bonaventure.

[11] Bontempi, G. (2019). Realism, machine learning and the problem of universals. Retrieved from https://datascience741.wordpress.com/2019/01/17/realism-machine-learning-and-the-problem-of-universals/ (accessed October 10, 2022).

[12] Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford: Oxford University Press.

[13] Bryson, J. J. (2020). The past decade and future of AI’s impact on society. In Towards a new enlightenment? A transcendent decade. Retrieved from https://www.bbvaopenmind.com/en/articles/the-past-decade-and-future-of-ais-impact-on-society/ (accessed September 27, 2022).

[14] Conitzer, V. (2016). Artificial intelligence: Where’s the philosophical scrutiny? Prospect.

[15] Cooper, J. M. (1996). An Aristotelian theory. In Essays on Aristotle's rhetoric (Vol. 6, p. 238).

[16] Dingemanse, M., Roberts, S. G., & Baranova, J. (2015). Universal principles in the repair of communication problems. PLoS ONE, 10(1), 1-15. https://doi.org/10.1371/journal.pone.0136100

[17] Emerging Technology from the arXiv archive page. (2016). The extraordinary link between deep neural networks and the nature of the universe. Retrieved from https://www.technologyreview.com/2016/09/09/157625/the-extraordinary-link-between-deep-neural-networks-and-the-nature-of-the-universe/#:~:text=Artificial%20intelligence-,The%20Extraordinary%20Link%20Between%20Deep%20Neural%20Networks%20and%20the%20Nature,in%20the%20laws%20of%20physics (accessed October 10, 2022).

[18] Galluzzo, G., & Loux, M. J. (2015). The problem of universals in contemporary philosophy. Cambridge: Cambridge University Press.

[19] Gasser-Wingate, M. (2016). Aristotle on induction and first principles. Philosophers, 16.

[20] Giusarma, E., Hurtado, M. R., Villaescusa-Navarro, F., He, S., Ho, S., & Hahn, C. (2019). Learning neutrino effects in cosmology with convolutional neural networks. arXiv preprint arXiv:1910.04255.

[21] Griffiths, T. L. (2020). Understanding human intelligence through human limitations. Trends in Cognitive Sciences. https://doi.org/10.48550/arXiv.2009.14050 (in press).

[22] Grygianiec, M. (2013). Two approaches to the problems of universals by J. M. Bochenski. Stud East Eur Thought, 65(1), 27-42. https://doi.org/10.1007/s11212-013-9176-8

[23] Guzman, A. L., & Lewis, S. C. (2020). Artificial intelligence and communication: A human machine communication research agenda. New Media & Society, 22(1), 70-86. https://doi.org/10.1177/1461444819858691

[24] He, S., Li, Y., Feng, Y., Ho, S., Ravanbakhsh, S., Chen, W., & Póczos, B. (2019). Learning to predict the cosmological structure formation. Proceedings of the National Academy of Sciences, 116(28), 13825-13832.

[25] Holloway, E. (2022). How AI neural networks show that the mind is not the brain. Mind Matters News. Retrieved from https://mindmatters.ai/2022/08/how-ai-neural-networks-show-that-the-mind-is-not-the (accessed October 3, 2022)

[26] Hutter. (2005). AIXIjs. Retrieved from http://www.hutter1.net/aixijs/index.html

[27] Jordan, W. (2005). Ancient concepts of philosophy. Taylor & Francis e-Library.

[28] Kaynar, E. U., Abdi, M., Hajkazemi, M. H., Turk, A., Sambasivan, R. R., Cohen, D., ... & Krieger, O. (2019, December). D3N: A multi-layer cache for the rest of us. In 2019 IEEE International Conference on Big Data (Big Data) (pp. 327-338). IEEE.

[29] Klima, G. (2000). The medieval problem of universals.

[30] Klima, G. (2015). The medieval problem of universals. Stanford Encyclopedia of Philosophy. Retrieved from https://plato.stanford.edu/entries/universals-medieval (accessed September 15, 2022)

[31] Let’s Talk Science. (2021). AI and human-computer communication. Retrieved from https://letstalkscience.ca/educational-resources/backgrounders/ai-and-human-computer-communication

[32] Lin, H. W., Tegmark, M., & Rolnick, D. (2017). Why does deep and cheap learning work so well? Journal of Statistical Physics, 168(6), 1223-1247.

[33] Merrill, M. (2014). Is this a sandwich? Teaching the Platonic dialogues through sandwiches. Retrieved from https://kmikeym.medium.com/is-this-a-sandwich-50b1317eb3f5 (accessed October 3, 2022).

[34] Mike, T. (2022). The future of AI: How artificial intelligence will change the world. Retrieved from https://builtin.com/artificial-intelligence/artificial-intelligence-future (accessed September 27, 2022).

[35] Mills, T. (2018). Virtual intelligence vs. artificial intelligence: What's the difference? Retrieved from https://www.forbes.com/sites/forbestechcouncil/2018/03/27/virtual-intelligence-vs-artificial-intelligence-whats-the-difference/?sh=6c659b681cc0 (accessed September 30, 2022).

[36] Mohanty, J. N. (2007). Philosophy in the 21st century. eSamskriti Cultural Spirituality Travel. Retrieved from https://www.esamskriti.com/e/Spirituality/Philosophy/Philosophy-in-the-21st-century-1.aspx (accessed October 7, 2022).

[37] Munster Jr, J. H., & Smith, J. C. (1964). Savants, sandwiches, and space suits: Universities engaged in research and development must find ways to protect their intellectual "property." Science, 145(3638), 1276-1281.

[38] Nah, S., McNealy, J., Kim, J. H., & Joo, J. (2020). Communicating artificial intelligence (AI): Theory, research, and practice. Communication Studies, 71(3), 369-372. https://doi.org/10.1080/10510974.2020.1788909

[39] Noyan, M. A. (2018). Plato, Aristotle and machine learning. Towards Data Science. Retrieved from https://towardsdatascience.com/plato-aristotle-and-machine-learning-521c3252cbd1 (accessed October 3, 2022).

[40] Piarkowski, D., Park, S., Wang, A. Y., Wang, D., Muller, M., & Portnoy, F. (2021). How AI developers overcome communication challenges in a multidisciplinary team: A case study. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 1-25. https://doi.org/10.1145/3449205

[41] Reyes, K. (2022). What is deep learning and how does it work. Retrieved from https://www.simplilearn.com/tutorials/deep-learning-tutorial/what-is-deep-learning (accessed September 30, 2022).

[42] Scherer, J. (2015). A bro and a philosopher debate the true meaning of a sandwich. Retrieved from https://firstwefeast.com/eat/2015/04/philosophy-of-meat-bread

[43] Schmidhuber, J. (2006). Celebrating 75 years of AI - History and outlook: The next 25 years. In Proceedings of the 50th Anniversary Summit of Artificial Intelligence at Monte Verita, Ascona, Switzerland.

[44] Schumacher, L. (2011). Divine illumination: The history and future of Augustine's theory of knowledge. John Wiley & Sons.

[45] Searle, J. (1980). Minds, brains, and programs. Behavioral and Brain Sciences, 3(3), 417-457.

[46] Stanford Encyclopedia of Philosophy. (2015). Nominalism in metaphysics. Retrieved from https://plato.stanford.edu/entries/nominalism-metaphysics (accessed October 3, 2022).

[47] Stanford Encyclopedia of Philosophy. (2016). Platonism in metaphysics. Retrieved from https://plato.stanford.edu/entries/platonism (accessed October 3, 2022).

[48] Stanford Encyclopedia of Philosophy. (2019). Saint Augustine. Retrieved from https://plato.stanford.edu/entries/augustine (accessed September 3, 2019).

[49] Stinson, C. (2020). From implausible artificial neurons to idealized cognitive models: Rebooting philosophy of artificial intelligence. Philosophy of Science. https://doi.org/10.1086/709730 (preprint).

[50] Uzay, Ç. A., & Geren, N. E. (2022). Sandwich composites, fabrication and characterization.

Abstract

References

How to cite