Meta-Universes of Melded Infinities: The Mind's Ontological Power through Theory
Abstract
This paper hypothesizes a theoretical framework for comprehending human awareness not just as a processor of outside reality but also as an ontological engine able to create and negotiate "meta-universes. " Built inside, a meta-universe is a higher-order conceptual space housing and integrating an infinite spectrum of possible realities, memories, and theoretical systems. The mind's own ability to combine these diverse conceptual worlds—including logic, emotion, narrative, and mathematics—into coherent, new creations is known as "melding infinities. " Building on ideas from cognitive neuroscience, philosophy of mind, and theoretical physics, this article contends that the human mind's ability for abstraction, counterfactual reasoning, and self-consciousness gives it a creative power that actively forms and defines reality. Looking at the human intellect as a system that creates worlds of its own rather than just notices one, this study recontextualizes its potential.
Keywords:
Consciousness, Meta-universe, Neuroplasticity, Abstraction, Ontology, Predictive processing, Self-awarenessReferences
- [1] Metzinger, T. (2024). The elephant and the blind: The experience of pure consciousness: Philosophy, science, and 500+ experiential reports. MIT Press. https://B2n.ir/kw9237
- [2] Mageed, I. A. (2025). The persistent mysteries: Foundational and philosophical problems with infinity in science and mathematics. http://dx.doi.org/10.20944/preprints202506.0455.v1
- [3] Mageed, I. A. (2025). Does infinity exist- crossroads between mathematics, physics, and philosophy. http://dx.doi.org/10.20944/preprints202506.2056.v1
- [4] Peebles, P. J. E. (2020). Cosmology’s century: An inside history of our modern understanding of the universe. Princeton University Press. https://www.torrossa.com/en/resources/an/5622931
- [5] Nahin, P. J. (2021). When least is best: How mathematicians discovered many clever ways to make things as small (or as large) as possible. Princeton University Press. https://www.torrossa.com/en/resources/an/5565052
- [6] Wittgenstein, L. (2023). On certainty. BoD–Books on Demand. https://www.bol.com/nl/nl/p/on-certainty/9300000236746936/
- [7] Mageed, I. A., & Kouvatsos, D. D. (2021). The impact of information geometry on the analysis of the stable m/g/1 queue manifold. Proceedings of the 10th international conference on operations research and enterprise systems (ICORES 2021) (pp. 153–160). IENCE and Technology Publications, Lda. http://dx.doi.org/ 10.5220/0010206801530160
- [8] Mageed, I. A., & Bhat, A. (2022). Generalized z-entropy (Gze) and fractal dimensions. Applied mathematics & information sciences, 16(5), 829–834. http://dx.doi.org/10.18576/amis/160517
- [9] Mageed, I. A., & Zhang, Q. (2022). An introductory survey of entropy applications to information theory, queuing theory, engineering, computer science, and statistical mechanics. 2022 27th international conference on automation and computing (ICAC) (pp. 1–6). IEEE. https://doi.org/10.1109/ICAC55051.2022.9911077
- [10] Mageed, I. A., & Zhang, K. Q. (2022). Information geometry? exercises de styles. Electronic journal of computer science and information technology, 8(1), 9–14. https://doi.org/10.52650/ejcsit.v8i1.121
- [11] Mageed, I. A., & Zhang, Q. (2023). Formalism of the rényian maximum entropy (RMF) of the stable M/G/1 queue with geometric mean (GeoM) and shifted geometric mean (SGeoM) constraints with potential geom applications to wireless sensor networks (WSNs). Electronic journal of computer science and information technology, 9(1), 31–40. https://doi.org/10.52650/ejcsit.v9i1.143
- [12] Mageed, I. A., & Mohamed, M. (2023). Chromatin can speak fractals: A review [presentation]. The university of bradford life sciences postgraduate research conference. https://www.researchgate.net/publication/374056291
- [13] Mageed, I. A. (2023). A unified information data length (IDL) theoretic approach to information- theoretic pathway model queueing theory (QT) with rényi entropic applications to fuzzy logic. 2023 international conference on computer and applications (ICCA) (pp. 1–6). IEEE. https://doi.org/10.1109/ICCA59364.2023.10401761
- [14] A Mageed, I. (2023). Cosistency axioms of choice for Ismail’s entropy formalism (IEF) combined with information-theoretic (IT) applications to advance 6G networks. European journal of technique (EJT), 13(2), 207–213. https://doi.org/10.36222/ejt.1299311
- [15] Mageed, I. A. (2023). Fractal dimension (d f) of Ismail’s fourth entropy (h iv ( q,a 1 , a 2 ,..,a k )) with fractal applications to algorithms, haptics, and transportation. 2023 international conference on computer and applications (ICCA) (pp. 1–6). IEEE. https://doi.org/10.1109/ICCA59364.2023.10401780
- [16] A. Mageed, I. (2024). The fractal dimension theory of Ismail’s third entropy with fractal applications to cubesat technologies and education. Complexity analysis and applications, 1(1), 66–78. https://doi.org/10.48314/caa.v1i1.31
- [17] Mageed, I. A. (2024). Fractal dimension of the generalized z-entropy of the rényian formalism of stable queue with some potential applications of fractal dimension to big data analytics. http://dx.doi.org/10.20944/preprints202401.2038.v1
- [18] A Mageed, I. (2024). Fractal dimension (Df) theory of Ismail’s entropy (IE) with potential Df applications to structural engineering. Journal of intelligent communication, 3(2), 111–123. https://doi.org/10.54963/jic.v3i2.258
- [19] Mageed, I. A., Bhat, A. H., & Alja’am, J. (2024). Shallow learning vs. Deep learning in social applications. In Shallow learning vs. deep learning: A practical guide for machine learning solutions (pp. 93–114). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-69499-8_4
- [20] Mageed, I. A., Bhat, A. H., & Edalatpanah, S. A. (2024). Shallow learning vs. Deep learning in finance, marketing, and e-commerce. In Shallow learning vs. deep learning: A practical guide for machine learning solutions (pp. 77–91). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-69499-8_3
- [21] Mageed, I. A., Bhat, A. H., & Rehman, H. U. (2024). Shallow learning vs. Deep learning in anomaly detection applications. In Shallow learning vs. deep learning: A practical guide for machine learning solutions (pp. 157–177). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-69499-8_7
- [22] Mageed, I. A., & Li, H. (2025). The golden ticket: Searching the impossible fractal geometrical parallels to solve the millennium, P vs. NP open problem. http://dx.doi.org/10.20944/preprints202506.0119.v1
- [23] Mageed, I. A. (2025). Fractals across the cosmos- from microscopic life to galactic structures. http://dx.doi.org/10.20944/preprints202506.0037.v1
- [24] Grossberg, S. (2021). Conscious mind, resonant brain: How each brain makes a mind. Oxford University Press. https://B2n.ir/bq1766
- [25] Parr, T., Pezzulo, G., & Friston, K. J. (2022). Active inference: The free energy principle in mind, brain, and behavior. MIT Press. https://B2n.ir/qq8310
- [26] Seth, A. K. (2021). Being you: A new science of consciousness. Dutton. https://www.bol.com/nl/nl/p/being-you/9300000026445824/
- [27] Barrett, L. F. (2020). Seven and a half lessons about the brain. Mariner Books. https://B2n.ir/qx3833
- [28] Ying, Q., Dong, W., & Fabrikant, S. I. (2024). How do in-car navigation aids impair expert navigators’ spatial learning ability? Annals of the american association of geographers, 114(7), 1483–1504. https://doi.org/10.1080/24694452.2024.2356858
- [29] Chomsky, N., Seely, T. D., Berwick, R. C., Fong, S., Huybregts, M. A. C., Kitahara, H., … ., & Sugimoto, Y. (2023). Merge and the strong minimalist thesis. Cambridge University Press. https://doi.org/10.1017/9781009343244
- [30] Bregman, R. (2020). Humankind: A hopeful history. Bloomsbury Publishing. https://B2n.ir/bg8006
- [31] Bellos, A. (2020). Alex’s adventures in numberland. Bloomsbury Publishing. https://B2n.ir/nq3973
- [32] Harford, T. (2020). How to make the world add up: ten rules for thinking differently about numbers. Hachette UK. https://B2n.ir/nq3973
- [33] Gaspar, Y., & Tambor, P. (2024). The laws of nature and the problems of modern cosmology. Foundations of science, 29(3), 847–870. https://doi.org/10.1007/s10699-023-09904-1
- [34] Khatin-Zadeh, O., Eskandari, Z., & Farsani, D. (2023). The roles of mathematical metaphors and gestures in the understanding of abstract mathematical concepts. Journal of humanistic mathematics, 13(1), 36–53. https://doi.org/10.5642/jhummath.BZXW2115
- [35] Nefdt, R. M. (2019). Infinity and the foundations of linguistics. Synthese, 196(5), 1671–1711. https://doi.org/10.1007/s11229-017-1574-x
- [36] Stuart, M. T. (2021). Towards a dual process epistemology of imagination. Synthese, 198(2), 1329–1350. https://doi.org/10.1007/s11229-019-02116-w
- [37] Gardner, J. (2020). Creation and creativity. In Encyclopedia of psychology and religion (pp. 551–552). Springer. https://www.researchgate.net/publication/383278170
- [38] Redelmeier, D. A. (2024). Thinking fast, slow, and forever: Daniel kahneman obituary. Medical decision making, 44(5), 467–469. https://doi.org/10.1177/0272989X241256121
- [39] Berto, F. (2022). Topics of thought: The logic of knowledge, belief, imagination. Oxford University Press. https://www.amazon.nl/-/en/Francesco-Berto/dp/0192857495
- [40] Bachmann, T. (2020). Account of consciousness by Christof Koch: Review and questions. Consciousness and cognition, 82, 102937. https://doi.org/10.1016/j.concog.2020.102937
- [41] Whitebread, D., & Neale, D. (2020). Metacognition in early child development. Translational Issues In Psychological Science, 6(1), 8-14. https://doi.org/10.1037/tps0000223
- [42] Gallagher, S., & Zahavi, D. (2020). The phenomenological mind. Routledge. https://doi.org/10.4324/9780429319792