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Does Infinity Exist? Crossroads Between Mathematics, Physics, and Philosophy

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24 June 2025

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25 June 2025

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Abstract
Since it is at the centre of important philosophical, physical, and mathematical issues, the notion of infinity has attracted interest and caused controversy for millennia. Focusing on its formal existence in mathematics, its debatable presence in physical reality, and the philosophical debates that these different approaches cause, this paper explores the complicated nature of infinity. Crossing these theoretical barriers enables us to better appreciate how the issue Does infinity exist? does not have a single solution, but rather a range of responses depending on the context of inquiry. Though basic to several fields of abstract thinking and scientific hypothesis, the notion of infinity still presents great and ongoing open questions. Most importantly, This paper presents a brief review of important unsolved issues about infinity appearing in the several but connected fields of mathematics, physics, and philosophy. From the ambiguous nature of the continuum of numbers in mathematics to the contradictions of cosmological models in physics and the ongoing discussion about the reality of actual infinities in philosophy, the infinite keeps pushing the limits of human knowledge and the systems we use to understand the world.
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1. Introduction

From the enigmas of ancient Greece to the borders of modern cosmology(Gagné, 2021), the concept of the infinite has tested human perception. In mathematics(sanders, 2020), infinity has been tamed and formalised, becoming a valuable tool. In physics(León, 2024), its emergence is frequently a red flag, indicating a breakdown in theory. In philosophy(Livadas, 2020), it is still a battleground for fundamental concerns regarding the nature of reality and knowing. This paper will navigate these various views, beginning with the abstract certainty of mathematical infinite and progressing to the empirical uncertainties of physical infinity before closing with a philosophical synthesis of these ideas.
Though thinkers for millennia (Garmot, 2025) have puzzled and interested infinity, it is not a number but rather an idea. Georg Cantor's work in the late nineteenth century gave a formal mathematical framework for dealing with different sizes of infinity (Jaeger, 2022), but his revolution also exposed a new terrain of unanswered concerns. These issues transcend mathematics and pervade physics, where theories of the extremely large and very small clash with unlimited values, and philosophy, which continues to struggle with the metaphysical status and logical coherence of the infinite. Highlighting the continuous mental battle with a notion that is both essential and deeply enigmatic, this piece examines some of the most major unresolved challenges in these three fields.

2. The Mathematical Infinity: A Realm of Abstraction

The ancient Greeks pioneered the formalisation of infinity. Zeno of Elea, with his famous paradoxes of motion, was among the first to recognise the problematic nature of infinite divisibility (Seban, 2023). For decades, Aristotle distinguished between prospective infinity (a process that can continue endlessly(León, 2023), such as counting, and actual infinity (a completed, existing infinite collection). The latter was widely believed impossible.
Georg Cantor radically(Jaeger, 2022) changed this idea in the late nineteenth century. Cantor's study of set theory proved the existence of distinct sizes of infinity, resulting in a hierarchy of transfinite numbers. He demonstrated, for example, that the infinity of real numbers is "larger" than the infinity of natural numbers. Hilbert's paradox of the Grand Hotel, in which a fully occupied hotel with infinite rooms may constantly welcome more guests, exemplifies the counterintuitive yet logically consistent character of true infinity in mathematics (Russell, 2020).
However, acknowledgement of true infinity is not universal, even within mathematics. Platonism holds that mathematical things, especially infinite sets, have a genuine, objective existence that is independent of human mind (Russell & Potter, 2022). In contrast, formalists see mathematics as a game of manipulating symbols according to rules, with no claim to external reality, whereas intuitionists and constructivists, such as Kronecker and Brouwer, reject the existence of actual infinity, arguing that mathematical objects must be constructible in a finite number of steps (Posy, 2020; Hamkins, 2021).

3. The Physical Infinity: A Search for Reality

In physics, the existence of infinity is an empirical question. Is the universe endless in space? Was there an infinite past? Based on Einstein's theory of general relativity, modern cosmology has no clear answer. Observational data is restricted to the discernible universe—a finite sphere from which light has been able to reach us since the Big Bang (Kragh, 2021)—even if the conventional cosmological model predicts an infinite universe.
The Big Bang theory itself implies a finite age for the universe, ruling out an infinite past, a notion that has been philosophically challenged by arguments such as the Kalam cosmological argument (Loke, 2022). Some cosmological models, such as perpetual inflation, postulate a "multiverse" of bubble universes with possibly limitless numbers (Guth, 2023).On the other end of the scale, in the quantum domain, infinity frequently indicates a problem. In quantum field theory, computations for quantities such as a particle's energy might produce endless outcomes. These infinities are removed using the renormalisation process, which yields finite, measurable predictions (Pawitan et al., 2024). Some physicists argue that the infinities indicate that our existing theories are incomplete.
Indeed, some quantum gravity theories, such as loop quantum gravity, propose that spacetime is quantised, with discrete, finite units at the Planck scale (Ashtekar & Bianchi, 2021). The holographic principle and the Bekenstein bound, which postulate a finite limit on the amount of information that can be held inside a given volume of space, both hint to a fundamentally finite reality (Bolotin, 2024).

4. The Philosophical Crossroads

The discrepancy in how mathematics and science approach infinity(Vincent, J., 2022) provide rich fodder for philosophical debate. Is mathematical "infinity" the same as physicists' "infinity"? If the cosmos is discovered to be finite, does this invalidate the mathematics of infinity(Vopěnka, 2022)? The answer appears to be no. The formal systems of mathematics do not rely on physical reality for validity(Vopěnka, 2022; Vincent, J., 2022). The philosophical argument between Platonism and Formalism is essential here(Vopěnka, 2022; Vincent, J., 2022). For a Platonist, the question of whether physical infinity exists is distinct from the actuality of mathematical infinity(Zarepour, 2020). A formalist views mathematics as a tool, and the utility of infinite notions in explaining the universe is more important than their literal existence(Zarepour, 2020).
The historical distinction between potential and real infinity is still significant. It may be claimed that mathematics deals with actual infinities, but the physical world, at best, merely presents us with prospective infinities—processes that have not, and possibly cannot, be completed(Weyl, 2021).

5. Open Problems: The Persistent Enigma of the Infinite: Unresolved Questions in Mathematics, Physics, and Philosophy

5.1. The Unsettled Landscape of Mathematical Infinity

Probably the most well-known open issue in the mathematics of infinity is the Continuum Hypothesis (CH). Formulated by Cantor(Kanamori, 2020; Mageed, 2025a), CH postulates that there is no set whose cardinality is strictly between that of the integers (the smallest infinite set) and that of the real numbers (the continuum). Mathematicians tried to prove or debunk it for years. The breakthrough happened in two stages: Kurt Gödel (Godel, 2025) demonstrated that CH cannot be disproved inside the standard Zermelo Fraenkel axioms of set theory (ZFC); (Stefanović, 2023) showed that it also cannot be established. Therefore, CH does not depend on ZFC.
This independence has generated a persistent schism. Should CH, or its negation, be adopted as a new axiom? Logicians like (Barker, 2020) have investigated the philosophical and practical justifications for accepting new axioms, but no agreement has developed. This renders the architecture of the transfinite hierarchy essentially unfinished, which begs questions about whether there is one, true universe of sets or a multiverse of set theories each with distinct properties of the infinite (Incurvati, 2020). The challenge of CH goes beyond just technical ones; it investigates the very nature of mathematical fact and actuality.

5.2. Physical Infinities: Singularities and Cosmic Scope

Often viewed as indicators in physics that a theory has been stretched past its applicability limit (Adlam, 2022), infinities are. Two important fields in which such difficult infinities continue are the investigation of black holes and the ultimate scope of the universe.
According to our best theory of gravity, general relativity, singularities—points of infinite density and spacetime curvature—exist at the heart of black holes and at the beginning of the Big Bang (Clark, 2022) These infinities show a collapse of the established laws of physics rather than just mathematical curiosities. Most people think that resolving these requires a theory of quantum gravity, with leading candidates like string theory and loop quantum gravity giving varying interpretations of what replaces the singularity (Bambi et al., 2024; Cecotti, 2023). Still a major open issue is whether these ideas can effectively eliminate infinity from our representation of nature.
One of the most basic issues in cosmology on a larger plane is whether the cosmos itself is spatially infinite. Theories of cosmic inflation, particularly eternal inflation, hold that our observable patch is but one of numerous bubble universes inside a forever growing, infinite multiverse (Guth, 2023; Peebles, 2020). Testing such a theory is difficult, possibly putting it beyond the purview of empirical science and into the field of metaphysics (Friederich, 2021). Theoretical physics and cosmology are still influenced by the argument on the limited or infinite character of reality.

5.3. The Philosophical Impasse: Potential vs. Actual Infinity

The difference between actual infinity and potential has long interested philosophy.6 Whereas an actual infinity is a finished, existing totality with an infinite number of components (e.g., the set of all natural numbers), a potential infinity is a process that can, in theory, keep going forever (e.g., counting). Aristotle famously dismissed actual infinity as inconsistent, a view that dominated for centuries (Capecchi, 2024).
Although Cantor's set theory gave a coherent basis for real infinities, it did not settle the metaphysical controversy (Waszek, 2023). Philosophers keep asking whether the mathematical consistency of actual infinity means its real-world or metaphysical possibility. Often cited to support the argument against the existence of real infinities in the physical world, paradoxes such Hilbert's Grand Hotel reveal counterintuitive characteristics of infinite sets (Djidjian, 2023). This discussion grounds modern mathematics and physics philosophy as well as it is historical. For example, if the universe is genuinely infinite as some cosmological models imply, then it would appear to instantiate an actual infinity, therefore requiring a direct confrontation with these long-standing philosophical concerns (Dewar et al., 2022). Whether infinity is only a practical conceptual tool or a property of reality itself is still a very open question.

6. Open Problems in Information Theory, Fractal Geometry, Information Geometry, Data Length Theory, Knowledge Transfer, and Infinity: Challenges and Prospects

The flood of data in the twenty-first century calls for a more thorough awareness of its basic features, organization, and distribution. Often tackling the great consequences of infinity, interdisciplinary fields including Information Theory, Fractal Geometry, Information Geometry, and the more developing fields related to data length and knowledge (Mageed & Kouvatsos, 2021; Mageed & Bhat, 2022;Mageed & Mohamed,2023; Mageed, 2023a; Mageed & Zhang,2022a;Mageed & Zhang, 2022b; Mageed & Zhang, Q.,2023; Mageed,2023a;Mageede et al., 2024 a-c;Mageed,2024 a-m; Mageed & Li, 2025; Mageed, 2025a-c) transfer all meet on addressing complicated problems. Combining these viewpoints and solving their intrinsic open issues shows great potential for developments in basic science, complex systems modelling, and artificial intelligence.
Data Developed by (Ali et al., 2023), theory offers the mathematical foundation for measuring information. Although classical communication channels are well recognized, open questions remain in quantum information theory, especially in the development of strong error correction for quantum computing (Luo et al., 2023). Determining basic limits for networked information systems with dynamic topologies is moreover a current topic of research (Stone, 2024).
Introduced by Mandelbrot (Golding, 2021; Ding et al., 2023), fractal geometry gives data and natural irregularly and complicated structures a vocabulary with tools. Defining and quantifying information dimensions for self-similar sets exhibiting multifractal behavior and applying fractal ideas to dynamic systems beyond static patterns represent open problems in measuring and defining data dimensions for self-similar sets. Particularly in high-dimensional settings, the interaction of fractal dimensions and information content within complex datasets is an area ready for investigation (Akhmet et al., 2020).
A somewhat more recent area, information geometry uses differential geometry to probability distributions, thereby providing a strong framework for statistical inference and machine learning (Amari & Matsuda, 2024; Mageed et al., 2024 a-c; Mageed, 2025d). Important unsolved issues include applying its ideas to nonparametric models, creating reliable measures for comparing complicated data manifolds, and incorporating information-geometric ideas into deep learning architectures for better optimization and interpretability (Amari & Matsuda, 2024; Del Centina & Gimigliano, 2025)
Often understood through the lens of Kolmogorov Complexity, the idea of Information Data Length Theory measures the innate complexity of an item as the length of the smallest computer program it may be generated (Rioul, 2021). Among the unsolved issues in this area are the practical computability of Kolmogorov complexity for real-world data, the creation of universal compression algorithms approaching theoretical constraints, and its use to define randomness and anomaly detection in complicated systems (Hassan et al., 2022)
Particularly in machine learning, knowledge transfer—in the sense of information and data—comprises the difficulties of effective learning, generalization, and adaptation (Pan, 2020). Together with the idea of infinity, this raises questions about scalability and the processing of unbounded or ever-expanding datasets. Open problems include developing learning algorithms that can effectively transfer knowledge across infinitely diverse or evolving domains and understanding the theoretical limits of learning from infinite streams of data (Meedeniya, 2023). The philosophical implications of infinite information, and how finite systems can meaningfully interact with or approximate it, also represent profound challenges (Carp, 2025).
The major theoretical integration of these fields is their challenge. Developing a consistent mathematical framework that effectively combines information-theoretic measures with geometric insights into data structures, while accounting for the complexity introduced by infinite processes, remains a great goal (Polyanskiy et al., 2025 ). Prospects comprise a better grasp of emerging phenomena in complicated natural and artificial systems (Schuster, 2024), new ways of data compression, and the creation of more strong and understandable artificial intelligence systems. Addressing these outstanding concerns promises to change our knowledge of information and its function in the cosmos.

7. My Mathematical Intervention on Infinity

In my mathematical judgment, I do not support the actual existence of infinity as a mathematical entity. In simple terms, looking the number of points in a straight line, presumably, following mathematics, it is infinite, so, looking at the straight-line AB below
A__________________ B
Observing the bigger line segment, as in below
C_________________________________ D
The cardinal number C a r d of the representative sets of points forming that bigger straight-line CD is infinte, and so one. So, since the set of points representing the first line segment is a subset of the latter bigger line segment, it is apparent that this will provide a concrete contradiction, as it declares that
C a r d C D > C a r d ( A B )
Following (1),
>
Equation (2), poses a question:
Is it possible to have infinity bigger than itself? What does this mean?
The first infinity is less than the second infinity, but infinity is assumed to be the greatest number beyond counting. Simply, this means thee is no infinity. More counter examples would arise from fractal patterns, and much more. This poses a millennium open problem, that is ultimately solved by my simple argument and scores a seminal groundbreaking proof. My in-depth search will be resumed for more seminal proofs to follow this current exposition. I do not even hold any belief in melded

8. Conclusion

The issue Does infinity exist? is not a simple one. The solution varies depending on the situation. Thanks, in mathematics to Cantor's efforts, there is a rich and consistent theory of actual infinity. Independent of one's philosophical position on its reality, this is a strong and necessary idea. The presence of infinity in physics is still debatable; some theories accept it while others advocate for a basically limited cosmos. Often viewed as anomalies of present theories are the infinities that appear in physics. Manifesting as a technical issue of axiomatic choice in mathematics, a signal of theoretical breakdown in physics, and a profound metaphysical puzzle in philosophy, the infinity problem fights a simple solution. The independence of the Continuum Hypothesis, the mystery of physical singularities, and the ongoing controversy between potential and actual infinities show that our interaction with the infinite is far from ended. These unresolved questions are not independent; for example, the possibility of an actual infinite universe directly relates the interests of cosmology with the bases of mathematics and philosophy. As a result, the infinite will probably continue to be a strong driver of intellectual investigation, always defining the boundaries of human knowledge.
Finally, the idea of infinity forces us to face the bounds of human understanding and the nature of reality itself. Regardless of whether infinity is a characteristic of the universe or merely a product of the human intellect, its capacity to inspire great queries across several subjects is, in a very real sense, without bound.

References

  1. Adlam, E. , Watching the Clocks: Interpreting the Page–Wootters Formalism and the Internal Quantum Reference Frame Programme. Foundations of Physics 2022, 52, 99. [Google Scholar] [CrossRef]
  2. Akhmet, M. , Fen, M.O. and Alejaily, E.M., 2020. Dynamics with chaos and fractals. Cham, Switzerland: Springer.
  3. Ali, A. , Anam, S. and Ahmed, M.M., Shannon entropy in artificial intelligence and its applications based on information theory. Journal of Applied and Emerging Sciences 2023, 13, 9–17. [Google Scholar]
  4. Amari, S.I. and Matsuda, T., Information geometry of Wasserstein statistics on shapes and affine deformations. Information Geometry 2024, 7, 285–309. [Google Scholar] [CrossRef]
  5. Ashtekar, A. and Bianchi, E., A short review of loop quantum gravity. Reports on Progress in Physics 2021, 84, 042001. [Google Scholar] [CrossRef] [PubMed]
  6. Bambi, C. , Modesto, L. and Shapiro, I., 2024. Handbook of Quantum Gravity (Vol. 10, pp. 978–981). Springer.
  7. Barker, S.F. , 2020. Induction and hypothesis: A study of the logic of confirmation.
  8. Bolotin, A. , The holographic principle comes from finiteness of the universe’s geometry. Entropy 2024, 26, 604. [Google Scholar] [CrossRef]
  9. Capecchi, D. , The Principle of Inertia in the History of Classical Mechanics. Foundations of Science 2024, 29, 1029–1070. [Google Scholar] [CrossRef]
  10. Carp, T.N. , 2025. Naming the Stars: Neurodivergence, Mythopoetics, and the Multi Galactic Architecture of Infinite Communion.
  11. Cecotti, S. , 2023. Introduction to string theory. Springer Nature.
  12. Clark, G. , 2022. The man who tapped the secrets of the universe. Ravenio Books.
  13. Del Centina, A. and Gimigliano, A., 2025. Projective Geometry 1870–1930 and Beyond. In From Here to Infinity: Tracing the Origin and Development of Projective Geometry (pp. 693–755). Cham: Springer Nature Switzerland.
  14. Dewar, N. , Linnemann, N. and Read, J., The epistemology of spacetime. Philosophy Compass 2022, 17, e12821. [Google Scholar] [CrossRef]
  15. Ding, H.Y. , Lu, H.Z., Xu, Y.C. and Tong, M.S., 2023, July. A modified Mandelbrot fractal antenna with multi-band characteristics. In 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI) (pp. 383–384).
  16. Djidjian, R. , HISTORY OF FORMALISM: FROM ARISTOTLE TO GÖDEL. NOEMA 2023, 22, 9–18. [Google Scholar]
  17. Friederich, S. , 2021. Multiverse theories: A philosophical perspective, Cambridge University Press.
  18. Gagné, R. , 2021. Cosmography and the Idea of Hyperborea in Ancient Greece: A Philology of Worlds, Cambridge University Press.
  19. Gamrot, W. , A Critique of Moore’s Intellectual Property Theory. The Journal of Value Inquiry 2025, 1–23. [Google Scholar] [CrossRef]
  20. Godel, K.H. , 2025. MATHEMATICAL LOGIC IN VIENNA, SPRINGER INTERNATIONAL PU.
  21. Golding, J. , 2021. The lure of infinity. Mathematics in School.
  22. Guth, A.H. , 2023. The inflationary universe. In Cosmology (pp. 411–446). CRC Press.
  23. Hamkins, J.D. , 2021. Lectures on the Philosophy of Mathematics, MIT Press.
  24. Incurvati, L. , 2020. Conceptions of Set and the Foundations of Mathematics, Cambridge University Press.
  25. Jaeger, L. , 2022. Mathematics Becomes Paradoxical—Georg Cantor and the Insurmountable Contradictions of the Infinite. In The Stumbling Progress of 20th Century Science: How Crises and Great Minds Have Shaped Our Modern World (pp. 41–59). Cham: Springer International Publishing.
  26. Kanamori, A. , 2020. Cantor and continuity. The history of continua. Philosophical and mathematical perspectives, 219–254.
  27. Kragh, H. , 2021. Cosmology and controversy: The historical development of two theories of the universe.
  28. León, A. , 2023. Infinity put to the test. Self edition in KDP. Printed at amazon. com. Free pdf.
  29. León, A. Physicists blind faith in infinity. The General Science Journal Link 2024. [Google Scholar]
  30. Livadas, S. , Is There an Ontology of Infinity? Foundations of Science 2020, 25, 519–540. [Google Scholar] [CrossRef]
  31. Loke, A. , 2022. The teleological and Kalam cosmological arguments revisited, Springer Nature.
  32. Luo, G. , Ezerman, M.F., Grassl, M. and Ling, S., Constructing quantum error-correcting codes that require a variable amount of entanglement. Quantum Information Processing 2023, 23, 4. [Google Scholar] [CrossRef]
  33. 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.
  34. Mageed, I. A. , & Bhat, A. H.,Generalized Z-Entropy (Gze) and fractal dimensions. Appl. math 2022, 16, 829–834. [Google Scholar]
  35. Mageed, I. A. , & Mohamed, M., 2023. Chromatin can speak Fractals: A review.
  36. Mageed, I. A. , Fractal Dimension (Df) Theory of Ismail’s Entropy (IE) with Potential Df Applications to Structural Engineering. Journal of Intelligent Communication 2024, 3, 111–123. [Google Scholar] [CrossRef]
  37. Mageed, I. A. , A Theory of Everything: When Information Geometry Meets the Generalized Brownian Motion and the Einsteinian Relativity. J Sen Net Data Comm 2024, 4, 1–22. [Google Scholar]
  38. Mageed, I. A. , The Generalized Z-Entropy’s Fractal Dimension within the Context of the Rényian Formalism Applied to a Stable M/G/1 Queue and the Fractal Dimension’s Significance to Revolutionize Big Data Analytics. J Sen Net Data Comm 2024, 4, 1–11. [Google Scholar]
  39. Mageed, I. A. ,2023, November. Fractal Dimension (Df) of Ismail’s Fourth Entropy (with Fractal Applications to Algorithms, Haptics, and Transportation. In 2023 international conference on computer and applications (ICCA) (pp. 1–6). IEEE.
  40. Mageed, I. A. The Fractal Dimension Theory of Ismail's Third Entropy with Fractal Applications to CubeSat Technologies and Education. Complexity Analysis and Applications 2024, 1, 66–78. [Google Scholar]
  41. Mageed, I. A. ,2025b. Fractals Across the Cosmos: From Microscopic Life to Galactic Structures.
  42. Mageed, I. A. ,2025d. A: The Unfolding Dialectic.
  43. Mageed, I.A. Entropic Artificial Intelligence and Knowledge Transfer. Adv Mach Lear Art Inte 2024, 5, 01–08. [Google Scholar]
  44. Mageed, I.A. and Kouvatsos, D.D., 2021, February. The Impact of Information Geometry on the Analysis of the Stable M/G/1 Queue Manifold. In ICORES (pp. 153–160).
  45. Mageed, I.A. and Li, H., 2025. The Golden Ticket: Searching the Impossible Fractal Geometrical Parallels to solve the Millennium, P vs. NP Open Problem.
  46. Mageed, I.A. and Zhang, K.Q. Information geometry? exercises de styles. Electronic journal of computer science and information technology 2022, 8, 9–14. [Google Scholar]
  47. Mageed, I.A. and Zhang, Q., 2022a, September. An introductory survey of entropy applications to information theory, queuing theory, engineering, computer science, and statistical mechanics. In 2022 27th international conference on automation and computing (ICAC) (pp. 1–6). IEEE.
  48. Mageed, I.A. and Zhang, Q.,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 2023, 9, 31–40. [Google Scholar]
  49. Mageed, I.A. , 2023, November. A Unified Information Data Length (IDL) Theoretic Approach to Information-Theoretic Pathway Model Queueing Theory (QT) with Rényi entropic applications to Fuzzy Logic. In 2023 International Conference on Computer and Applications (ICCA) (pp. 1–6). IEEE.
  50. Mageed, I.A. , 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) 2023, 13, 207–213. [Google Scholar] [CrossRef]
  51. Mageed, I.A. , Entropy-based feature selection with applications to industrial internet of things (IoT) and breast cancer prediction. Big Data and Computing Visions 2024, 4, 170–179. [Google Scholar]
  52. Mageed, I.A. , Entropic imprints on bioinformatics. Big Data and Computing Visions 2024, 4, 245–256. [Google Scholar]
  53. Mageed, I.A. , On the Rényi Entropy Functional, Tsallis Distributions and Lévy Stable Distributions with Entropic Applications to Machine Learning. Soft Computing Fusion with Applications 2024, 1, 87–98. [Google Scholar]
  54. Mageed, I.A. , Towards An Info-Geometric Theory Of The Analysis Of Non-Time Dependent Queueing Systems. Risk Assessment and Management Decisions 2024, 1, 154–197. [Google Scholar]
  55. Mageed, I.A. , Ismail’s Threshold Theory to Master Perplexity AI. Management Analytics and Social Insights 2024, 1, 223–234. [Google Scholar]
  56. Mageed, I.A. , 2024. On the Kullback-Leibler Divergence Formalism (Kldf) of the Stable Mg1 Queue Manifold, Its Information Geometric Structure and Its Matrix Exponential.
  57. Mageed, I.A. , Information Geometric Analysis of the Dynamics of Transient M/M/∞ Queue Manifold. Systemic Analytics 2024, 2, 335–372. [Google Scholar]
  58. Mageed, I.A. , On the Rényi Entropy Functional, Tsallis Distributions and Lévy Stable Distributions with Entropic Applications to Machine Learning. Soft Computing Fusion with Applications 2024, 1, 87–98. [Google Scholar]
  59. Mageed, I.A. , On the shoulders of the three giants: information theory, semi-group theory, and uncertain reasoning with information-theoretic applications to human computer interaction. Uncertainty Discourse and Applications 2024, 1, 258–270. [Google Scholar]
  60. Mageed, I.A. , 2025. The Persistent Mysteries: Foundational and Philosophical Problems with Infinity in Science and Mathematics. Preprints.
  61. Mageed, I.A. , Bhat, A.H. and Alja’am, J. Shallow Learning vs. Deep Learning in Social Applications. In Shallow Learning vs. Deep Learning: A Practical Guide for Machine Learning Solutions; Springer Nature Switzerland: Cham, 2024; pp. 93–114. [Google Scholar]
  62. Mageed, I.A. , Bhat, A.H. and Edalatpanah, S.A. Shallow Learning vs. Deep Learning in Finance, Marketing, and e-Commerce. In Shallow Learning vs. Deep Learning: A Practical Guide for Machine Learning Solutions; Springer Nature Switzerland: Cham, 2024; pp. 77–91. [Google Scholar]
  63. Mageed, I.A. , Bhat, A.H. and Rehman, H.U., 2024b. Shallow Learning vs. Deep Learning in Anomaly Detection Applications. In Shallow Learning vs. Deep Learning: A Practical Guide for Machine Learning Solutions, Springer Nature Switzerland: Cham; 157–177.
  64. Mageed, I.A. ,2025c. The Unfolding Dialectic: A Comparative Analysis of Human and Artificial Intelligence, its Open Challenges, and Future Prospects. Preprints.
  65. Meedeniya, D. , 2023. Deep learning: A beginners' guide, Chapman and Hall/CRC.
  66. Pan, S.J. . Transfer learning. Learning 2020, 21, 1–2. [Google Scholar]
  67. Pawitan, Y. and Lee, Y., 2024. Philosophies, Puzzles and Paradoxes: A Statistician’s Search for Truth, CRC Press.
  68. Peebles, P.J.E. , 2020. Cosmology’s century: An inside history of our modern understanding of the universe. In Cosmology’s Century. Princeton University Press.
  69. Polyanskiy, Y. and Wu, Y., 2025. Information theory: From coding to learning, Cambridge university press.
  70. Posy, C.J. , 2020. Mathematical intuitionism.
  71. Rioul, O. , 2021. This is IT: A primer on Shannon’s entropy and information. In Information Theory: Poincaré Seminar 2018 (pp. 49–86). Springer International Publishing.
  72. Russell, B. and Potter, M., 2022. Introduction to mathematical philosophy, Routledge.
  73. Russell, B. , 2020. Principles of mathematics, Routledge.
  74. Sanders, S. Reverse formalism 16. Synthese 2020, 197, 497–544. [Google Scholar] [CrossRef]
  75. Schuster, G. , 2024. Machine learning methods in geoscience.
  76. Seban, P. , From Zeno ad infinitum: Iterative Reasonings in Early Greek Philosophy. Rhizomata 2023, 11, 33–54. [Google Scholar] [CrossRef]
  77. Stefanović, N. , 2023. The ZFC analogue of the Halpern-Levy theorem. arXiv preprint arXiv:2311.00191, arXiv:2311.00191.
  78. Stone, J.V. , 2024. Information Theory: A Tutorial Introduction to the Principles and Applications of Information Theory.
  79. Vincent, J. , 2022. Beyond measure: The hidden history of measurement, Faber & Faber.
  80. Waszek, D. , 2023. Signs as a Theme in the Philosophy of Mathematical Practice. In Handbook of the History and Philosophy of Mathematical Practice (pp. 1–31). Cham: Springer International Publishing.
  81. Weyl, H. , 2021. Philosophy of mathematics and natural science, Princeton University Press.
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