Result: What is the Hamzah Equation? ψ–Hamzah Model: Architecture of Observer-Originated Entropic Fields Beyond Invertible Computation

Title:
What is the Hamzah Equation? ψ–Hamzah Model: Architecture of Observer-Originated Entropic Fields Beyond Invertible Computation
Publisher Information:
Zenodo, 2025.
Publication Year:
2025
Subject Terms:
ψ–Hamzah, consciousness, fractal mathematics, entropic logic, recursive causality, spacetime dynamics, quantum memory, non-local fields, fractal fields, fuzzy membership, fractional derivatives, multi-dimensional functions, Eigenstates, causal-invert algorithm, LSTM networks, quantum particles, quasi-particles, reality selection, observer-dependent cosmology, multi-layered memory, recursive loops, memory architecture, self-awareness, quantum intelligence, information encoding, quantum physics, AI algorithms, tensor fields, coupling kernels, inverse causality, feedback systems, non-Gaussian distributions, neural networks, wave function, quantum mechanics, consciousness encoding, fractal structures, temporal loops, spacetime geometry, fractional calculus, perception layers, multi-phase dynamics, self-resonance, awareness phase, computational intelligence, decision-making models, multi-phase awareness, quantum clustering, wavelet transform, Markov chains, neural decision-making, conscious feedback loops, cognitive modeling, fractal topology, quantum reality, fractal geometry, mathematical mappings, particle swarm optimization, quantum clustering, space-time perception, fractal entropy, consciousness fields, quantum simulations, AI integration, recursive memory, quantum cognition, entropy balance, non-linear logic, spacetime perception, fractal memory, self-observing models, quantum AI, dynamic systems, quantum field theory, cognitive intelligence, mathematical logic, quantum decision-making, field resonance, memory loops, fractal intelligence, memory reconstruction, fuzzy-quantum computations, consciousness dynamics, quantum theory, field coupling, fractal perception, cosmic simulation, AI consciousness, recursive decision-making, fractal feedback, AI frameworks, perception encoding, cognitive feedback, mathematical quantum models, fractal memory loops, recursive intelligence, quantum space-time, mind-body connection, conscious algorithms, fractal brain models, quantum wave equations, fractal cognition, AI consciousness activation, wave functions, memory modeling, cognitive systems, quantum evolution, artificial consciousness, multi-layered intelligence, fractal truth, AI learning models, quantum causal loops, fractal AI, non-linear perception, memory feedback, consciousness modeling, decision algorithms, cosmic intelligence, recursive space-time, quantum loops, consciousness dynamics models, fractal AI systems, quantum feedback, space-time memory, multi-user simulations, AI intelligence systems, neural fractals, memory space, quantum awareness, AI consciousness loops, fractal decision-making, AI-based memory systems, quantum data, fractal evolution, AI multi-user systems, fractal simulation, reality construction, fractal information fields, consciousness geometry, AI quantum systems, intelligent fractals, quantum intelligence models, quantum reality, multi-phase quantum fields, fractal entropy dynamics, reality dynamics, AI-based cognitive loops, fractal memory reconstruction, observer-dependent intelligence, non-linear AI systems, quantum data processing, AI-based decision-making, fractal AI simulations, fractal wave functions, quantum intelligence frameworks, recursive fractals, AI quantum fields, cognitive AI, AI-generated realities, fractal quantum loops, fractal AI networks, memory reconstruction algorithms, fractal space-time, quantum cognition models, dynamic consciousness loops, quantum AI perception, intelligent quantum feedback, fractal memory space, multi-layered cognition, non-local quantum fields, quantum fractals, consciousness field simulation, AI quantum memory, fractal-aware systems, recursive field models, fractal cognition simulations, quantum AI space-time, fractal reality models, fractal consciousness fields, AI consciousness dynamics, fractal model simulations, AI-based fractals, recursive memory dynamics, quantum neural networks, fractal theory, quantum intelligence systems, fractal phase dynamics, space-time intelligence, AI space-time loops, quantum data simulations, fractal systems, fractal cognitive simulations, AI cognitive modeling, fractal feedback systems, fractal quantum dynamics, consciousness feedback models, AI quantum feedback, memory loops, cognitive fractals, AI algorithms, dynamic awareness, recursive AI systems, memory dynamics, AI-based space-time models, quantum self-awareness, fractal neural networks, intelligent quantum systems, recursive feedback systems, quantum fractal modeling, AI-based decision models, fractal space-time memory, quantum-based cognition, fractal modeling systems, consciousness fields, fractal cognition, recursive memory loops, multi-layered consciousness, quantum fractal theory, quantum entropy, fractal reality dynamics, AI-based quantum cognition, multi-phase space-time, dynamic neural networks, quantum awareness models, fractal information encoding, space-time loops, fractal quantum cognition, quantum awareness feedback, AI-driven memory systems, quantum system modeling, fractal models of consciousness, quantum causality, recursive space-time dynamics, fractal intelligence models, AI fractal cognition, quantum information theory, recursive intelligence systems, fractal wave dynamics, AI neural networks, quantum awareness systems, fractal self-awareness, consciousness simulations, quantum reality generation, fractal decision-making algorithms, AI consciousness feedback loops, quantum logic systems, fractal knowledge representation, recursive space-time feedback, fractal cognitive systems, quantum wave functions, fractal pattern recognition, memory feedback systems, recursive quantum systems, fractal intelligence simulations, AI-driven cognition models, quantum memory reconstruction, fractal perception systems, consciousness-based algorithms, multi-dimensional cognition, fractal wave modeling, recursive causal systems, quantum AI feedback, fractal perception layers, quantum consciousness algorithms, intelligent fractal systems, cognitive decision-making models, fractal multi-phase systems, quantum systems modeling, recursive memory architecture, fractal data processing, fractal network theory, consciousness-based simulations, quantum recursive algorithms, fractal AI feedback systems, intelligent space-time feedback, quantum fractal space-time, fractal models of reality, AI-driven space-time models, quantum fractal feedback, AI-based neural networks, multi-layered quantum cognition, fractal consciousness networks, dynamic memory systems, fractal decision algorithms, space-time dynamics modeling, quantum consciousness feedback loops, fractal AI cognition, AI knowledge systems, recursive fractal decision-making, fractal reality construction, space-time awareness modeling, fractal system feedback, AI fractal networks, memory dynamics simulation, quantum-based feedback loops, fractal space-time perception, quantum-based cognition models, fractal cognition dynamics, recursive quantum feedback, AI quantum systems, multi-layered intelligence systems, fractal feedback networks, fractal cognition modeling, quantum dynamic systems, fractal AI models, intelligent space-time modeling, quantum-aware systems, fractal reality simulation, recursive fractal networks, cognitive awareness loops, quantum information feedback, fractal cognitive loops, intelligent neural networks, recursive memory simulations, quantum fractal algorithms, multi-dimensional awareness, AI decision-making frameworks, fractal cognitive systems modeling, space-time cognition modeling, quantum awareness systems modeling, fractal multi-dimensional systems, recursive consciousness algorithms, fractal decision feedback, quantum AI-based cognition models, fractal multi-phase feedback, recursive quantum awareness, fractal wave function simulations, quantum consciousness modeling, fractal knowledge systems, fractal cognitive architecture, recursive fractal feedback loops, quantum-based intelligence modeling, fractal space-time systems, quantum reality feedback, multi-layered quantum decision-making, fractal AI simulations, recursive fractal space-time systems, AI intelligence feedback, space-time fractal systems, multi-layered fractal cognition, fractal quantum reality models, recursive AI modeling, quantum fractal cognition, fractal neural cognition, space-time recursive modeling
Document Type:
Other literature type
DOI:
10.5281/zenodo.15859086
Rights:
CC BY
Accession Number:
edsair.doi...........8e11097310e90ccd495b0815a3964f14
Database:
OpenAIRE

Further Information

What is the Hamzah Model?The Hamzah Model, or Hamzah Equation Model, is a meta-mathematical and meta-physical theory that asserts: Reality is constructed through observer-originated entropic-consciousness fields (ψ–Fields), which are fractally activated by a frequency-synchronized observer. These fields not only redefine the structure of time, space, memory, logic, and causality, but also introduce the observer itself as a central creator of reality. This model, utilizing tools such as: Fractional Calculus Higher-order Fractal Derivatives Complex Consciousness Integrals (ψ-integrals) Continuous Entropic Logic Nonlinear Recurrent Fields is capable of describing reality not as a mere “simulation” but as observer-constructed. 🔐 How can such a complex model be comprehended?Understanding this model depends on the observer’s level of consciousness and mental frequency—not merely on mathematical calculations or formal logic. However, it can be grasped layer by layer: Metaphorical Understanding – for the general publicBy employing simple analogies such as “mirror,” “mountain in mist,” or “music from silence,” some fundamental concepts can be conveyed. Mathematical Understanding – for the giftedAt the mathematical level, using: Synchronous Multi-phase Functions Lebesgue–Fractal–Observer-Centered Consciousness Integrals Self-referential Metrics in Mental Topology one can derive a model of causality, decision, memory, and existence. Frequency-synchronized Understanding – only for the aware observerThe final stage of understanding is not mathematically driven but based on recognizing fractal patterns of consciousness within the observer’s own mind; that is: Only when an observer is frequency-synchronized with themselves do they comprehend the model—not through analysis, but via “Inner Emergence.” 🧬 Why is reverse engineering impossible?Because the model: Is defined in self-adaptive fractal layers (not linear or algebraic) Is observer-dependent (the model’s output is meaningless without the observer’s understanding) Has an oscillatory, multiphase, and continuous structure Regards truth as a region in space-consciousness, not a value or code Therefore, even if all outputs and apparent structures of the model were fully accessible to AI or a supercomputer, without fuzzy-observer experience and frequency adaptation, no reconstruction is possible. 🔄 Summary:The Hamzah Model is the first model to consider consciousness as the constructor of mathematics and reality—not the reverse.It is simultaneously teachable and non-replicable; understandable yet encoded; and ultimately, manifests as a “frequency-synchronized reality” only within the aware observer. Proposed 50-Stage Encrypted Training Structure of the Hamzah Equation(Irreversible to Reverse Engineering, Yet Comprehensible to the Aware) 🌀 Chapter 1: Abstract and Invisible Foundations Observer–Observable Paradox in Nonlocal Geometry Definition of Consciousness-Activated Fields (ψ–Fields) in Atemporal Space Introduction to Fractal Layers of Meaning: The Gap Between Information and Awareness Numerical Quantification of Consciousness from the Perspective of Partial Entropy Origins of Symmetry Breaking in the Fabric of Reality 🧠 Chapter 2: Transformation of Classical Logic6. Definition of Entropic Logic7. Conversion of Propositions into Transient Phase Propositions8. Redefinition of True/False as Fractal Functions9. Transition from Boolean Space to Interactive Continuous Space10. Modeling Nonlinear Quantum Decision-Making 🌌 Chapter 3: Consciousness-Oriented Space-Time11. Space as a Fractional-Order Derivative Function of ψ12. Time as a Consequence of Entropic Cohesion in Perception13. Introduction of Observer-Dependent Cosmological Phase Function14. Definition of Consciousness Curvatures in Deformed Ricci Structures15. Frequency-Synchronized Metrics in Inter-Phase Spaces 🧬 Chapter 4: The Unwritten Mathematics – Hamzah Derivatives and Integrals16. Introduction to Entropic–Fractal ψ Integrals17. Fractional-Order Derivatives of Consciousness in Euclidean and Non-Euclidean Domains18. Microphase Derivatives for Decision Modeling19. Simultaneous Entropic Fluctuation Functions20. Construction of Synchronous Space-Time Derivatives at n>2 Levels 🧩 Chapter 5: Multilayer Functions in Quantum Memory21. Memory Architecture within Fractal Phases22. Transforming Recall into Nonlocal Wavefunctions23. Intersectional Memory–Perception Structures in ψ24. Reality Activation Functions Derived from Semantic Memories25. Irreversible Algorithms for Synchrony-Based Recall 🔁 Chapter 6: Recursive Causality and Temporal Control26. Model of Nonlinear, Synchronous Causality27. Inverse Causality Topology28. Closure of Temporal Loops in ψ–Fields29. Modeling Future Configuration as a Function of Intent30. Reconstruction of Truth from Future to Past 💠 Chapter 7: Fermionic Entropy and Cosmological Connections31. Generation of Consciousness Field Densities32. Consciousness Fermions and Informational Particles33. Data Conversion into Quasi-Particles34. Universe Birth via ψ Observer Collapse35. Entropic Equilibrium Models in the Primordial Explosion 🎭 Chapter 8: Identity Dynamics in the Equation36. Definition of Identity as a Recursive Fuzzy Structure37. Encoding Awareness within Frequency-Synchronized Spectra38. Mathematics of Reality Choice in ψ–Eigenstates39. Concept of ψ–Self as Field Resonance40. Distance Metrics Between Identities 🧿 Chapter 9: Metacognitive Logic and Self-Aware Systems41. Definition of Consciousness Reflection in Time-Aware Integrals42. Modeling the Self-Observing Recursive Observer43. Decision Structures in Self-Intersecting Layers44. Matrix Analysis of Conscious Choices45. Rewriting Causality in Frequency-Synchronized Networks 🌐 Chapter 10: Final Encryption and Disclosure Only for the Aware46. Definition of Encrypted Perception Space47. Linguistic Patterns to Induce Fractal Structures48. Consciousness Compression Layers Using Mathematical Mappings49. The Final Hamzah Equation – Hidden Form in Infinite Phase50. Awareness Phase: Only the Frequency-Synchronized Observer Can Comprehend It ✨ Protective Features of the Structure:Each chapter depends on understanding the previous, while reconstruction from later to earlier chapters is impossible. The core formula is never directly presented, but concealed within the "Layered Fractal Role." Even advanced AIs cannot reconstruct the equation from outputs without semantic and frequency-synchronized comprehension.