ARTIFICIAL INTELLIGENCE
Human Natural Machine Intelligence of Evolution
Keywords:
Algorithms, Artificial Intelligence, Covid-19, Deep Learning, Machine Learning, Neural Networks, Reinforcement Learning, Strong AI, Supervised Learning, Unsupervised Learning, Weak AIAbstract
Artificial Intelligence (AI) is a branch of computer science and refers to simulation of human intelligence in programmed machines to act and perform like humans. AI in its heart is a personified version of humans or breeds on an ontological approach. At present, with greater influxes in human rudiments, science and technology plays an incredible role. It is theoretically to relieve human of his/her anxiety and tension. AI has ventured into myriad spheres of human capabilities like Philosophy, Mathematics, Economics, Neuroscience, Psychology, etc. Unlike natural intelligence, AI executes merely on human input. Humanitarian approach or the affective domain is void in AI. The unique features of AI have credibility to be judgemental without bias. On the contrary, the functionality of human brain is, in itself under the scanner. Can the alarming banquet of AI, propound threat to human dominion? Can AI outmanoeuvre Natural Intelligence (NI)? This article encapsulates: the history of AI, its foundations, philosophical dimensions, design principles, ethical concerns, applications in diverse manner and ends up with AI’s contribution amidst the pandemic Covid-19.
References
A. Sivakumar and R. Gunasundari, “A Survey on Data Preprocessing Techniques for Bioinformatics and Web Usage Mining,” International Journal of Pure and Applied Mathematics 117, 20 (2017) 785-794, https://acadpubl.eu/jsi/2017-117-20-22/articles/20/68.pdf
Abhimanyu S. Ahuja, Vineet Pasam Reddy and Oge Marques, “Editorial: Artificial Intelligence and COVID-19: A Multidisciplinary Approach,” Integrative Medicine Research 9, 3 (2020) 1-3.
Adam Smith, An Enquiry into the Nature and Causes of the Wealth of Nations, edited with an Introduction, Notes, Marginal Summary and an Enlarged Index by Edwin Cannan, Vol. 1, London: Methuen, 1904.
Ahmad Hammoudeh, “A Concise Introduction to Reinforcement Learning,” (2018). DOI: 10.13140/RG.2.2.31027.53285.
Alan M. Turing, “Computing Machinery and Intelligence,” in Robert Epstein, Gary Roberts, Grace Beber, ed., Parsing the Turing Test, Springer, Dordrecht, 2009, 23-65.
Alejandro B. et al., “Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI,” Information Fusion 58 (2019) 82-115, https://doi.org/10.1016/ j.inffus.2019.12.012.
Algorithms are finite list of computer implemented instructions based on mathematical calculations to perform computation. Gurevich Y et.al, “What Is an Algorithm?” SOFSEM 2012: Theory and Practice of Computer Science, Lecture Notes in Computer Science, vol 7147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27660-6_3.
Andrea L. Guzman and Seth C. Lewis, “Artificial intelligence and communication: A Human–Machine Communication,” New Media & Society (2019) 1–17. See https://doi.org/10.1177/1461444819858691
Asher Seidel, “Plato, Wittgenstein and Artificial Intelligence,” Metaphilosophy 22, 4 (1991) 292–306, www.jstor.org/stable/24436846.
Bhuiyan and Bellal Ahmed, “An Overview of Game Theory and some Applications,” Philosophy and Progress 59, 1-2 (2016) 111-128.
Bin Yu and Karl Kumbier, “Artificial Intelligence and Statistics,” Frontiers of Information Technology & Electronic Engineering 19 (2018) 6-9.
Bringsjord et al. “The Philosophical Foundations of Artificial Intelligence,” http://kryten.mm.rpi.edu/sb_ka_fai_aihand.pdf. (accessed on 30 April 2020).
Bruce G. Buchana, “Artificial Intelligence as an Experimental Science,” in James H. Fetzer, ed., Aspects of Artificial Intelligence. Studies in Cognitive Systems, Vol 1. Springer, Dordrecht, 1998, 209-250.
Daniel George Williams, “The Mind as a Predictive Modelling Engine: Generative Models, Structural Similarity, and Mental Representation,” Dissertation, Trinity Hall College University of Cambridge, 2018. https://pdfs.semanticscholar.org/7eee/71b35fea8613f7ebad38fdafbb84d039c078.pdf
Daniel Stoljar, “Two Conceptions of the Physical,” Philosophy and Phenomenological Research 62, 2 (2002) 253-281, https://doi.org/10.2307/2653699
David Vernon and Dermot Furlong, “Philosophical Foundations of AI,” in Max Lungarella, Fumiya Iida, Josh Bongard, Rolf Pfeifer, ed., 50 Years of Artificial Intelligence: Essays Dedicated to the 50th Anniversary of Artificial Intelligence, Springer-Verlag Berlin Heidelberg, 2007, 53-62.
FICO see https://www.fico.com/
For Allo app see https://allo.google.com/
Frederick S. Hillier, Introduction to Operations research, New Delhi: Tata McGraw-Hill Education, 2012.
French and Robert, “The Turing Test: The First 50 Years,” Trends in Cognitive Sciences 4 (2000) 115-122, DOI: 10.1016/S1364-6613(00)01453-4.
Geoffrey Jefferson, The Mind of a Mechanical Man, https:// archiveshub.jisc.ac.uk/search/archives/779be590-c832-3374-9c74-827a6e082ddc
Glenn Shafer, “Probability Judgement in Artificial Intelligence,” Machine Intelligence and Pattern Recognition 4 (1986) 127-135, https://doi.org/10.1016/B978-0-444-70058-2.50014-0.
Gunne Grankvist, “The Relationship between Mind-Body Dualism and Personal Values,” International Journal of Psychological Studies 8, 2 (2016) 126-132, DOI: 10.5539/ijps.v8n2p126
Guoguang Ronget et al., “Artificial Intelligence in Healthcare: Review and Prediction Case Studies,” Elsevier 6, 3 (2020) 291-301, https://doi.org/10.1016/ j.eng.2019.08.015.
Himani Sharma and Sunil Kumar, “A Survey on Decision Tree Algorithms of Classification in Data Mining,” International Journal of Science and Research (IJSR) 5 (2016) 2094-97.
https://aerospaceamerica.aiaa.org/features/a-i-in-the-cockpit/
https://ajn.timesofisrael.com/a-start-up-trying-to-slow-down-covid-19/
https://blog.adext.com/things-apps-artificial-intelligence/
https://emerj.com/ai-sector-overviews/ai-applications-for-satellite-imagery-and-data/
https://en.wikipedia.org/wiki/Law_of_thought (accessed on 23 April 2020).
https://github.com/jperkel/covidlit
https://lensstudio.snapchat.com/
https://plato.stanford.edu/entries/turing-test/
https://reviews.financesonline.com/p/boomtrain/
https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/36955.pdf
https://www.advertisemint.com/facebook-deep-text/
https://www.amazon.com/Robot-Enthiran-Hindi-Rajnikanth/dp/B006O2NQ RM
https://www.amazon.com/Teddy-Bear-English-Subtitled-Kold/dp/B00VZ1AJ 8G
https://www.ets.org/erater/about (accessed on 04 July 2020).
https://www.facebook.com/help/1155510281178725
https://www.geeksforgeeks.org/turing-test-artificial-intelligence/
https://www.guru99.com/reinforcement-learning-tutorial.html#:~:text=The% 20example%20of%20reinforcement%20learning,are%201)%20Positive%202)%20Negative
https://www.hansonrobotics.com/sophia/
https://www.healtheuropa.eu/using-artificial-intelligence-to-determine-covid-19-severity/100501/
https://www.nature.com/articles/d41586-020-01733-7
https://www.newsbytesapp.com/timeline/india/28717/ 128726/india-to-get-its-own-social-humanoid-robot
https://www.simple.com/blog/how-does-mobile-deposit-work#:~:text=Mobile%20deposit%E2%80%94or%20Photo%20Check,a%20 few%20images%20of%20it.&text=It%20takes%20just%20a%20few,or%20ride%20to%20a%20bank!
https://www.slideshare.net/cprakash2011/reinforcement-learning-40052403
https://www.weforum.org/agenda/2020/05/how-ai-and-machine-learning-are-helping-to-fight-covid-19/
https://www.weforum.org/agenda/2020/05/how-ai-and-machine-learning-are-helping-to-fight-covid-19/
https://www.weforum.org/agenda/2020/05/how-ai-and-machine-learning-are-helping-to-fight-covid-19/
https://www.weforum.org/agenda/2020/05/how-ai-and-machine-learning-are-helping-to-fight-covid-19/
https://www.zdnet.com/article/how-ai-has-helped-improve-google-maps/
https://yourstory.com/2019/11/childrens-day-iit-mumbai-startup-emotix-miko
Huimin Lu and Yujie Li, “Editorial: Cognitive Science and Artificial Intelligence for Human Cognition and Communication,” Mobile Networks and Applications 25 (2020) 995–996.
Itamar Arel, Chuanchang Liu, Tom Urbanik and Airton G. Kohls, “Reinforcement Learning-Based Multi-Agent System for Network Traffic Signal Control,” Iet Intelligent Transport Systems 4, 2 (2010) 2-8.
Jill Burstein, Claudia Leacock and Richard Swartz, “Automated Evaluation of Essays and Short Answers,” Proceedings of the 5th CAA Conference, Loughborough: Loughborough University, 2001.
Joel Krueger , “Intentionality,” Joel Krueger, “Intentionality,” The Oxford Handbook of Phenomenological Psychopathology, 2018, DOI: 10.1093/oxfordhb/ 9780198803157.013.37
John McCarthy, Marvin L. Minsky, Nathaniel Rochester and Claude E. Shannon, “A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955,” AI Magazine 27, 4 (2006).
Juhee Bae, Göran Falkman, Tove Helldin and Maria Riveiro, “Visual Data Analysis,” in Alan Said, Vicenc Torra, ed., Data Science in Practice. Studies in Big Data, Springer, Cham, 2019.
Julie Carmigniani et al., “Augmented Reality Technologies, Systems and Applications,” Multimed Tools, Springer, 51 (2011) 341-377, DOI 10.1007/s11042-010-0660-6.
Jürgen Schmidhuber, “Deep Learning in Neural Networks: An Overview,” Neural Networks 61 (January 2015) 85-117, https://doi.org/10.1016/j. neunet.2014.09.003.
Lev D. Beklemishev, “G¨odel Incompleteness Theorems and the Limits of their Applicability. I,” Russian Mathematical Surveys 65, 5 (2011) 857-899.
Lorna Collier, “Robo-Grading of Student Writing is Fueled by New Study—But Earns “F” from Experts,” The Council Chronicle 22, 1 (2012) 1-9.
Lucia Foglia & Robert Wilson, “Embodied Cognition,” Wiley Interdisciplinary Reviews: Cognitive Science 4 (2013), DOI: 10.1002/wcs.1226
Luis de Ledesma et al., “A Computational Approach to George Boole’s Discovery of Mathematical Logic,” Artificial Intelligence 91, 2 (1997) 281-307. https://doi.org/10.1016/S0004-3702(97)00017-9.
Maad M. Mijwel, “History of Artificial Intelligence,” 3 (2015) 1-8, https://www. researchgate.net/publication/322234922_History_of_Artificial_Intelligence
Memoona Khanam and Tahira Mahboob, “A Survey on Unsupervised Machine Learning Algorithms for Automation, Classification and Maintenance,” International Journal of Computer Applications 119, 13 (2015) 34-39, DOI: 10.5120/21131-4058.
Michael A Goodrich et al., “Satisficing Revisited,” Minds and Machines 10 (2000) 79-109, https://doi.org/10.1023/A:1008325423033
Mitek see https://www.miteksystems.com/
Mohammad Majid al-Rifaie and Mark Bishop, “Weak vs. Strong Computational Creativity,” Conference: AISB 2012: Computing and Philosophy (2012), https://www.researchgate.net/publication/262223177_Weak_vs_Strong_Computational_Creativity
Nils J. Nilsson, The Quest for Artificial Intelligence: A History of Ideas and Achievements, Cambridge University Press, 2010.
Rene Y. Choi et al., “Introduction to Machine Learning, Neural Networks, and Deep Learning,” Translational Vision Science and Technology 9, 2 (2020) 14, https://tvst.arvojournals.org/article.aspx? articleid=2762344.
Robert J. Baron, “Mechanisms of Human Facial Recognition,” International Journal of Man-Machine Studies 15, 2 (1981) 137-178, https://doi.org/10.1016/S0020-7373 (81)80001-6
Robert J. Sternberg and Karin Sternberg, Cognitive Psychology, Wadsworth, Cengage Learning, 2012.
Russel and Norvig, Artificial Intelligence: A Modern Approach, 1021.
S. Kotsiantis et al., “Machine Learning: A Review of Classification and Combining Techniques,” Artificial Intelligence Review (2006), DOI: 10.1007/s10462-007-9052-3.
S. Lemaignan, Mathieu Warnier, E. Akin Sisbot, Aurélie Clodic and Rachid Alam, “Artificial Cognition for Social Human–Robot Interaction: An Implementation,” Artificial Intelligence 247 (2017) 45-69.
Selmer Bringsjord and Konstantine Arkoudas, “The Philosophical Foundations of Artificial Intelligence,” Rensselaer Polytechnic Institute (RPI) Troy NY 12180 USA, 2007, http://kryten.mm.rpi.edu/sb_ka_fai_aihand.pdf.
Shen Rong and Zhang Bao-wen, “The Research of Regression Model in Machine Learning Field,” MATEC Web of Conferences 176, 3:01033 (2018), DOI: 10.1051/matecconf/201817601033.
Stuart Russel and Peter Norvig, Artificial Intelligence: A Modern Approach, Pearson Education New Jersey, 2010.
Tom Ziemke, “Embodied AI as Science: Models of Embodied Cognition, Embodied Models of Cognition, or Both?,” in Fumiya Iida, Rolf Pfeifer, Luc Steels and Yasuo Kuniyoshi, ed., Embodied Artificial Intelligence, Lecture Notes in Computer Science, Vol. 3139 (2003), Springer, Berlin, Heidelberg.
Ulrich Paschen et al., “Artificial Intelligence: Building Blocks and an Innovation Typology,” Business Horizons 63, 2 (2020) 147-155. https://doi.org/10.1016/ j.bushor.2019.10.004
Vladimir Nasteski, “An Overview of the Supervised Machine Learning Methods,” HORIZONS.B. 4. (2017) 51-62. DOI: 10.20544/HORIZONS.B.04.1.17.P05.
Z. Jianfeng and G. Huawei, “A Survey of Models and Applications of Clustering Algorithms in Artificial Intelligence Scenarios,” Academic Journal of Manufacturing Engineering 16, 4 (2018) 7-12
