Artificial Intelligence Reasoning for Mental Wellness

Authors

  • Rajapraveen. K. N. Department of CSE, Faculty of Engineering and Technology, JAIN (Deemed-to-be University) , Bengaluru, Karnataka, India.
  • J. Somasekar Department of CSE, Faculty of Engineering and Technology, JAIN (Deemed-to-be University) , Bengaluru, Karnataka, India.
  • Elangovan Muniyandy Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai - 602 105.
  • Udaya Kumar Gangavarapu Department of CSE, Narsimha Reddy Engineering College (Autonomous), Telangana State, India- 500100.
  • Amit Verma University Centre for Research and Development, Chandigarh University, Gharuan Mohali, Punjab, India.
  • Mylapalli Ramesh Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India.
  • Sonal Sharma Department of CSE, Faculty of Engineering and Technology, JAIN (Deemed-to-be University) , Bengaluru, Karnataka, India.

Keywords:

Artificial reasoning, AI reasoning, Interaction techniques, Neural networks

Abstract

Artificial Intelligence (AI) is a broad and evolving field in computer programming and development, dedicated to training machines to perform tasks that typically require human intelligence. It goes beyond simple automation and explores intricate topics like consciousness and cognitive thinking. By constructing robots that think and behave like humans, researchers seek to advance our knowledge of consciousness. The link between artificial intelligence, sometimes called as artificial reasoning or AI reasoning, and human cognitive processes[1] is a vital issue. This multidisciplinary project demonstrates AI's potential for resolving complicated challenges by using it to treat complex mental health concerns. But there are still issues with things like novel interaction strategies and ideas of human-AI collaboration. In order to shed light on how artificial intelligence  affects reasoning processes and its possible uses in daily activities to improve mental health, this study explores the link between AI and human reasoning. It also focuses on finding and solving issues that artificial intelligence (AI) reasoning can solve. Terms like artificial intelligence (AI), artificial emotion, cognitive reasoning, artificial superintelligence, and linguistics are essential to comprehending the complex workings of this area.

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References

Janmanchi Harika; Palavadi Baleeshwar,A Review on Artificial Intelligence with Deep Human Reasoning, https://ieeexplore.ieee.org/document/9793310 16 June 2022.

Yang, M.H. "Nature multimodal human-computer-interaction dialog system." Comput. Sci.10(41), pp-12-35, 2014.

Huang, Y.C., Wu, K.Y., Liu, Y.T. "Future home design: an emotional communication channel approach to smart space." Personal Ubiquitous Comput., 17(6), pp.-1281-1293, 2013.

De Mello, F.L., De Souza, S.A. "Psychotherapy and Artificial Intelligence: A Proposal for Alignment." Front. Psychol. 10:263. doi: 10.3389/fpsyg.2019.00263, 2019.

Eysenck, M.W., Keane, M. "Cognitive psychology: A student’s handbook." Psychology Press, 2015.

Fiske, A., Henningsen, P., Buyx, A. "Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy." J Med Internet Res, 21(5):e13216, 2019.

Bostrom, N. "AI set to exceed human brain power." CNN Science and Space, 2006.

Gibney, E. "Google secretly tested AI bot with human psychology." 2017.

Crowder, J. "Robot therapist will see you now ethical implications of human psychology." 2019.

Wagman, M. "Cognitive psychology and artificial intelligence: theory and research in cognitive science." 1984.

Tambe, M., Newell, A. "Theory of human and artificial cognition Research." 1988.

Malik. "Dictionary of cognitive psychology and human era." 2011.

Terry, D. "Artificial intelligence and creativity: an interdisciplinary approach." 2019.

Smitha B A and Raja Praveen K N, “ORDSAENet: Outlier Resilient Semantic Featured Deep Driven Sentiment Analysis Model for Education Domain”, Journal of Machine and Computing, vol.3, no.4, pp. 408-430, October 2023. doi: 10.53759/7669/jmc202303034

15.Soumya K N and Raja Praveen K N Diabetes Mellitus Disease Prediction and Classification using Latent Dirichlet Allocation and Artificial Neural Network Classifier, ISSN:2147-67992147-6799, www.ijisae.org

Machine learning approach for COVID-19 crisis using the clinical data. (2020). Indian Journal of Biochemistry and Biophysics. https://doi.org/10.56042/ijbb.v57i5.40803.

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Published

24.03.2024

How to Cite

K. N., R. ., Somasekar, J. ., Muniyandy, E. ., Gangavarapu, U. K. ., Verma, A. ., Ramesh, M. ., & Sharma, S. . (2024). Artificial Intelligence Reasoning for Mental Wellness. International Journal of Intelligent Systems and Applications in Engineering, 12(3), 82–88. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5225

Issue

Vol. 12 No. 3 (2024)

Section

Research Article

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