EXPLORING AI WITH SENSE THROUGH APPLYING THE GRAVITY IN MIND MECHANISM

Authors

  • LULU GAO School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, 923-1292 Ishikawa, Japan.
  • HIROYUKI IIDA School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, 923-1292 Ishikawa, Japan.

DOI:

https://doi.org/10.46754/jmsi.2024.10.005

Keywords:

Gravity in mind, Free-fall motion, Common sense, Resignation, Minimal objectivity

Abstract

The study of the laws of motion has been advancing, with significant contributions from key figures like Galileo and Newton. Analogous to the gravitational forces observed in the natural world, individuals occasionally find themselves irresistibly drawn to specific entities. The gravity in mind, the basis of free-fall motion in one’s mind, acts as a sensor to make an individual sense subtle judgments about things like common sense, as if it were whispering to our minds. Since it has been said for more than half a century that judging common sense is the most difficult task for AI, this paper explores whether AI can possess true intelligence by applying this mechanism. Empirical data from many different types of games show that Game Refinement (GR) zone is located in 0.07-0.08, which respectively corresponds to the lower limit (fairness) and upper limit (engagement). In other words, there is a border between objectivity and subjectivity in a thing, and this is the minimal objectivity, or the resignation in game context. Based upon this, in unconventional circumstances, when a greater gravitational acceleration operates within the mind, a sense of “playfulness” is generated, disrupting the harmony of comfort and discomfort sustained by the gravity in mind. The study concludes that applying the “gravity in mind” mechanism to AI could significantly blur the line between human and artificial intelligence, enhancing AI decision-making capabilities.

References

Turing, A. M. (1950). Computing Machinery and Intelligence (1950). Mind, 59, 433-460. https://doi.org/10.1093/mind/LIX.236.433

Iida, H., & Khalid, M. N. A. Using games to study law of motions in mind. In IEEE Access, Vol. 8, pp. 138701-138709. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9151140

Iida, H., Takahara, K., Nagashima, J., Kajihara, Y. & Hashimoto, T. (2004). An application of game-refinement theory to mah jong. In Rauterberg, M. (Ed.) Entertainment Computing–ICEC 2004. ICEC 2004. Lecture Notes in Computer Science, Vol. 3166. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-28643-1_41

Khalid, M. N. A. & Iida, H. Objectivity and subjectivity in games: Understanding engagement and addiction mechanism. IEEE Access, Vol. 9, pp. 65187-65205. https://doi.org/10.1109/ACCESS.2021.3075954 (2021).

Gao, N., Chang, H., Zhang, Z., Khalid, M. N. A. & Iida, H. (2022). Implications of jerk’s on the measure of game’s entertainment: Discovering potentially addictive games. In IEEE Access, Vol. 10, pp. 134362-134376. https://doi.org/10.1109/ACCESS.2022.3232520.

Galilei, G., Crew, H. & de Salvio, A. (1914). Dialogues concerning two new sciences. University Studies Series. Macmillan Company.

Guicciardini, N. (1687). Chapter 5 - Isaac Newton, Philosophiae naturalis principia mathematica, first edition (1687). In Grattan-Guinness, I., Cooke, R., Corry, L., Crépel, P. & Guicciardini, N. (Eds.), Landmark writings in western mathematics 1640-1940 (pp. 59-87). https://doi.org/10.1016/B978-044450871-3/50086-3

Sauer, T. Chapter 63 - Albert Einstein, review paper on general relativity theory (1916). In Grattan-Guinness, I., Cooke, R., Corry, L., Crépel, P. & Guicciardini, N. (Eds.), Landmark writings in western mathematics 1640-1940 (pp. 802-822). https://doi.org/10.1016/B978-044450871-3/50144-3

Schick, F. Freedom and necessity: the transition to the logic of the concept in Hegel’s science of logic. Hegel Bulletin, 35(1), 84-99. https://doi.org/10.1016/B978-044450871-3/50144-3

Zhang, Z., Xiaohan, K., & Khalid, M. N. A. & Iida, H. (2021). Bridging ride and play comfort. Information, 12, 119. https://doi.org/10.3390/info12030119.

Minsky, M. (2000). Commonsense-based interfaces. Communications of the ACM, 43(8), 66-73. https://doi.org/10.1145/345124.345145

Downloads

Published

13-10-2024