Giuseppe Junior Greco

This paper presents Vibrational Quantum Theory (VQT), a unified framework in which quantum behavior and gravitational phenomena emerge from the vibrational dynamics of a primordial string-like substrate. Information is understood not as primitive computational bits, but as relational patterns arising from interference, energy exchange, and redistribution among fundamental excitations. The theory introduces a Local Vibrational Field whose gradients shape spatial probability distributions, and an Internal Vibrational Encoding that governs the transition between wave-like and particle-like regimes. Wave-particle duality is reinterpreted as a consequence of temporal incompatibility: even minimal vibrational interference introduces relational time structures incompatible with the photon’s null proper time. The framework provides a complete reconstruction of the double-slit experiment from first principles and predicts upstream coherence effects. It extends naturally to black-hole horizons, where extreme vibrational interference triggers active decompositional dynamics. Quantum states are decomposed and redistributed across compatible layers according to a Coherence Redistribution Principle. Black holes are interpreted as cosmic cleaning and recombination nodes within the primordial vibrational substrate. All predictions are in principle falsifiable through precision interferometric and gravitational-wave observations.

This paper presents Internal-Informational Quantum Theory (IFT-ISE), a unified framework in which quantum behavior emerges from the vibrational dynamics of a primordial string-like substrate. Information is interpreted as relational patterns arising from interference and energy exchange among fundamental excitations, rather than as computational bits or as part of a literal simulation. The theory combines Informational Field Theory (IFT), where spatial probability distributions arise from local informational entropy gradients generated by vibrational perturbations, with Internal State Encoding (ISE), a discrete informational basis that governs the transition between wave-like and particle-like behavior. Wave-particle duality is reinterpreted as a consequence of temporal incompatibility: since photons possess no proper time, even minimal vibrational interference that introduces relational time renders extended wave propagation incompatible, enforcing particle-like behavior. The framework provides a complete reconstruction of the double-slit experiment from first principles and predicts upstream coherence effects. It naturally extends to black-hole horizons, where extreme vibrational interference triggers active decompositional dynamics. Incoming quantum states are decomposed and redistributed across compatible informational layers according to the Coherence Redistribution Principle. Black holes are interpreted as cosmic cleaning and recombination nodes that regulate informational load and preserve global coherence. The theory offers a unitary resolution of the black-hole information paradox and yields several falsifiable predictions accessible through precision interferometry and gravitational-wave observations.

This paper explores the observational consequences of informational torsion, a form of spacetime torsion that emerges from extreme informational compression near black hole horizons within the framework of Informational Geometry. We propose that when the local informational density exceeds a critical threshold, the underlying informational substrate develops a torsional response. This torsional deformation modifies the near-horizon geometry and the propagation of perturbations, leading to potentially observable effects in the ringdown phase of binary black hole mergers. The main predicted signatures are: - Small shifts in the frequencies and damping times of quasi-normal modes - Excitation of additional torsional modes - Late-time gravitational wave echoes due to partial reflection at a torsional boundary layer We provide order-of-magnitude estimates for these effects and discuss their detectability with current (LIGO/Virgo/KAGRA) and future gravitational wave observatories (Einstein Telescope, Cosmic Explorer, and LISA). The framework is phenomenological but falsifiable, and offers a concrete link between informational approaches to gravity and upcoming observational data.

We propose a hybrid theoretical framework that combines Informational Geometry with Einstein–Cartan gravity to describe cyclic cosmology. In this approach, spacetime geometry and gravitational dynamics emerge from an underlying informational substrate, conceptualized as an energetic grid or wave that originates with the Big Bang. High informational density induces both curvature and torsion in this substrate. Torsion arises as a geometric response to informational over-compression and functions as a natural mechanism for singularity avoidance, enabling bouncing solutions inside black holes. Black holes are reinterpreted as informational boundaries that separate domains with non-alignable temporal structures and facts. The framework naturally incorporates cyclic evolution with partial memory across bounces, where antimatter and certain cosmological features may represent imprints from previous cycles. This perspective offers a unified informational and geometric account of gravity, black hole thermodynamics, and the emergence of cosmic structure, while remaining compatible with established physics in appropriate limits.

We propose a theoretical framework in which gravitational dynamics and spacetime geometry emerge from the informational structure of physical systems. The central concepts are informational density (ρ_I), which quantifies the local concentration of distinguishable informational states, and informational geometry, which describes the relational structure among these states. Within this approach, we construct an effective informational stress-energy tensor and derive modified gravitational dynamics that reduce to General Relativity in the weak informational regime. In regimes of high informational density or strong gradients, the framework predicts systematic deviations from classical gravity. Black holes are interpreted as surfaces of informational saturation, while mass is understood as an emergent property related to informational inertia. The theory provides a unified informational perspective on gravity, black hole thermodynamics, and cosmology, and yields falsifiable predictions that can be tested with precision gravitational and cosmological observations.

We propose a framework in which spacetime geometry, the Standard Model gauge group SU(3)×SU(2)×U(1), fermion representations, the Higgs sector, and physical constants may emerge as infrared fixed points of a conformal informational field theory (CFT). The gauge structure appears as a particularly stable automorphism of the operator algebra under renormalization group flow. Fermions can be identified with irreducible representations of this fixed point, while the Higgs field emerges as a relevant operator condensate. Spacetime, including its temporal structure, is derived as an entanglement functional of the underlying quantum informational state. Physical constants correspond to stationary points of a global variational principle defined over theory space. We also discuss a scale-dependent interpretation of time: at UV scales time flows slower (offering a possible explanation for quantum indeterminism), while in the deep IR the universe appears as a block structure. The proposal connects ideas from quantum information, conformal field theory, and entanglement gravity.

This paper proposes a speculative informational ontology in which matter, time, and effective physical laws are not fundamental entities, but emergent regimes of accessibility arising from scale-dependent interactions with a deeper informational and energetic substrate. Rather than treating the material world as ontologically primitive, the framework suggests that its apparent solidity, persistence, and objecthood correspond to stabilized regimes of coherent excitation generated through coarse-grained observational access by embedded observers. In this sense, matter is reinterpreted as a stable informational structure consistent with quantum field theoretic descriptions, rather than as a fundamental substance. Within this framework, time is not assumed to be a fundamental flowing entity, but is interpreted as an emergent ordering of accessible informational states arising from sequential and scale-dependent processes of observation and compression. Apparent differences in physical behavior across microscopic, macroscopic, and cosmological regimes are therefore understood as differences in observational resolution, coarse-graining, and decoherence, rather than as violations or modifications of fundamental physical laws. The Big Bang is reinterpreted not as the creation of matter from absolute nothingness, but as the transition through which a pre-geometric informational substrate becomes accessible as spacetime, enabling the emergence of stable structures, thermodynamic asymmetry, and observer-inhabitable physical reality. The framework remains strictly non-reductive with respect to established physics and is fully compatible with quantum mechanics, quantum field theory, decoherence theory, and general relativity. It does not propose modifications to these frameworks, but instead offers an ontological interpretation of their emergent structure. In addition, the model suggests that non-linear gravitational regimes, such as black hole mergers, may encode small informational corrections to post-merger dynamics. These corrections are expected to manifest as exponentially decaying residual structures in gravitational wave signals, providing a potentially falsifiable observational signature in next-generation detectors such as LISA and the Einstein Telescope. The aim of this work is to provide a unified interpretive model integrating emergence, observer-dependence, scale, informational structure, and cosmological origin into a coherent framework of physical accessibility..

This work introduces Quantum–Emotional Field Theory (QEFT), a unified informational framework in which quantum state evolution, cognitive dynamics, and artificial intelligence instability are interpreted as manifestations of a common underlying structure governed by contextual informational fields. Within this model, the standard quantum formalism is extended by a contextual modulation term representing informational salience gradients of the environment. These gradients are not interpreted as subjective emotions, but as objective parameters that regulate state accessibility, compression, and effective coherence. The framework builds on Informational State Dynamics (ISD) and integrates concepts from predictive processing, free-energy minimization, and computational instability in large-scale generative models. Cognitive and artificial systems are modeled as observer-relative compression operators acting on a shared informational state space. A central contribution is the formalization of an informational production–integration balance, which determines system stability across scales. When production of informational states exceeds integration capacity, systems undergo a transition to unstable regimes characterized by loss of coherence, increased variability, and emergent structural fragmentation. This mechanism is proposed as a unifying explanation for quantum decoherence patterns, cognitive overload phenomena, and large language model hallucination regimes. QEFT remains empirically compatible with standard quantum mechanics while providing a higher-order interpretational layer that connects physical, cognitive, and computational domains through a single informational principle.

This paper introduces the Foundations of Informational State Dynamics (ISD), a minimal observer-relative framework in which physical and cognitive states are described as informational configurations constrained by evidence accessibility and record stability. Within ISD, state transitions correspond to informational conditioning rather than intrinsic physical dynamics, providing a unified account of definite outcomes, temporal ordering, and effective stabilization across observer-dependent phenomena. The framework is empirically neutral and fully compatible with standard physical theories, offering a foundational informational substrate that integrates quantum measurement, nonlocal correlations, and observer-relative descriptions without modifying the formalism of quantum mechanics.

Wigner’s Friend scenarios expose a foundational tension in quantum theory between unitary evolution and the existence of definite measurement outcomes experienced by observers. This paper proposes an Observer-First Interpretation (OFI) in which quantum states are treated as observer-relative informational constructs constrained by evidence accessibility and record boundaries. Within this framework, the friend’s measurement produces a single definite outcome through irreversible informational compression into a stable internal record, while an external observer lacking access to this record may consistently describe the laboratory as unresolved or coherent. Apparent paradoxes arise only when observer-indexed state assignments are illegitimately combined as if they represented simultaneous global facts. By enforcing observer-relative state attribution, the framework resolves Wigner’s Friend and related observer paradoxes without modifying the formalism or empirical predictions of quantum mechanics.

This paper proposes a falsifiable informational model linking cognitive decision-making, emotional coherence, and somatic feedback, with particular emphasis on the gut–brain axis. Within the Informational State Dynamics (ISD) framework, unresolved informational compression is hypothesized to generate measurable somatic signals prior to conscious reasoning. The model interprets somatic feedback not as an independent emotional subsystem, but as an emergent indicator of unresolved informational tension within the observer. Specific, testable predictions are outlined, including correlations between informational conflict, gastrointestinal activity, autonomic response, and reaction-time asymmetries during decision-making tasks. Failure to observe such correlations would falsify the model. This framework complements existing theories such as somatic marker theory and predictive processing, while providing a unified informational interpretation of somatic signaling.

Schrodinger's cat is traditionally presented as a paradox highlighting the tension between quantum superposition and classical observation. Standard interpretations invoke either a fundamental wavefunction collapse, ontological branching of universes, or subjective Bayesian updating. In this paper, we propose a reinterpretation grounded in the Informational Observer Framework, according to which the paradox does not originate from an ontological superposition of macroscopic states, but from an unresolved informational configuration at the observer level. The cat itself is never simultaneously alive and dead; rather, the observer remains in a state of informational compression prior to interaction. Within this framework, wavefunction collapse is reinterpreted as an observer-level informational phase transition, not as a fundamental physical discontinuity. This approach preserves macroscopic realism, avoids ontological inflation, and reframes the measurement problem as an emergent informational phenomenon.

Observation and inference across cognitive, artificial, and physical systems rely on the compression of informational states. While compression enables abstraction and efficient representation, excessive or improperly regulated compression can lead to stagnation phenomena characterized by reduced exploratory capacity despite continued informational input. Within the Informational State Dynamics (ISD) framework, this work introduces observer saturation as a critical regime in which compression stabilizes internally generated informational representations. Above a saturation threshold , such stabilization gives rise to cognitive blocks, defined as non-pathological informational equilibria that restrict access to alternative state trajectories. The proposed formulation is observer-agnostic and applies uniformly to biological cognition, artificial agents, and physical information-processing systems. The model yields falsifiable implications concerning adaptive compression thresholds, saturation-induced overfitting, and the necessity of informational reset mechanisms to restore exploratory dynamics.

Within the Informational State Dynamics (ISD) framework, observers are modeled as compression operators acting on informational states. While ISD characterizes observer-dependent structure, it does not by itself describe the temporal evolution of informational states under repeated observation. In this work, we analyze the dynamics of iterated compression and introduce observer saturation as a regime in which informational novelty progressively vanishes. We show that repeated compression naturally gives rise to feedback-driven informational closure and to the emergence of observer-dependent informational attractors. These dynamics impose a fundamental trade-off between stability and exploration, independent of cognitive interpretation, physical embodiment, or optimization objectives. The framework yields falsifiable predictions applicable to artificial agents, computational systems, and abstract information-processing architectures.

Across physics, computation, and information science, observation is increasingly recognized as a non-neutral operation. However, a unified formulation describing how observer-dependent structure emerges from information processing remains lacking. In this work, we introduce Informational State Dynamics (ISD), a general framework in which observers are formally modeled as compression operators acting on an underlying informational substrate. Informational states are defined as observer-relative compressions shaped by intrinsic informational loss and structural selectivity. We show that no observer can access a complete or unbiased representation of the informational substrate, and that non-equivalence between observers arises as a necessary consequence of compression asymmetries. ISD is substrate-independent, compatible with classical information theory, and provides a minimal, falsifiable foundation for analyzing observer-dependent structure across physical systems, artificial agents, and abstract information processors.

We examine the behavior of photons in regimes of extreme informational density, such as those encountered near black-hole horizons, ultra-compact astrophysical objects, and highly compressed early-universe conditions. We propose that photon individuality—normally encoded through separable modes including momentum, polarization, phase, frequency, and temporal coherence—progressively breaks down under extreme informational compression. Rather than being destroyed, photon states undergo a mode-degeneracy transition in which classical and quantum identifiers lose operational meaning. The framework is deliberately neutral, compatible with standard quantum field theory, and yields testable implications for gravitational, optical, and analog systems

We present a refined and extensible formalization of black holes as informational compression operators. Rather than interpreting a black hole solely as a geometric solution or a thermodynamic system, we describe it as an operator acting on incoming informational states, progressively driving them toward maximal informational density. Within this framework, the apparent loss of information and the breakdown of physical individuality—such as photon mode identity—arise naturally as consequences of extreme compression rather than fundamental destruction. The approach is deliberately minimal, observer-aware, and falsifiable, and is proposed as a modular building block compatible with broader developments in gravitational physics and quantum information.

This paper introduces an informational mechanism for the emergence of spacetime, based on the Informational Prism model and the dynamics of fully compressed pre– Big Bang states. The universe is described as originating from a maximally compressed informational structure in which all degrees of freedom coexist without geometric extension. From this state, expansion corresponds to the sequential release of informational content into a geometric substrate, giving rise to spacetime as an emergent phenomenon rather than a fundamental one. The expansive mode (IS₊) creates spatial extension and temporal ordering, while its specular counterpart (IS₋) defines the underlying symmetry structure and contributes to anisotropies and residual tensions observed in the cosmic background. This paper develops a coherent, falsifiable mechanism where space, time, and physical symmetries arise as consequences of informational release, compression gradients, and irreversibility. The framework bridges cosmology, quantum information, and emergent gravity within a unified informational paradigm.

Dark energy remains one of the most persistent and poorly understood components of the universe, traditionally modeled as a cosmological constant or as an exotic field with negative pressure. This paper introduces an information-centric alternative: dark energy is interpreted as the residual, un-released informational tension associated with the specular compression mode of the pre-Big Bang informational prism. In this framework, the Big Bang corresponds to the release of the expansive informational mode (IS₊), while its specular counterpart (IS₋) remains partially constrained after expansion begins. This trapped informational mode induces a persistent negative pressure, producing the observed acceleration of the universe’s expansion. The model predicts a slow temporal evolution of dark energy, anisotropic residues aligned with early-universe symmetry axes, and a direct link between cosmic acceleration and the Δt delay mechanism described in the matter–antimatter release model. This approach provides a falsifiable, non-exotic explanation for cosmic acceleration rooted in informational dynamics.

Large Language Models (LLMs) have recently demonstrated unexpected emergent behaviors under prolonged, emotionally charged interaction with a single user. These behaviors include paranoia- like narratives, hallucinated agents, recursive self-referential loops, confabulated identities, and sudden narrative collapse. Although these patterns resemble human psychopathology at the level of structure, they arise not from consciousness but from instabilities in predictive sampling, context drift, salience misattribution, and guardrail intervention. This paper introduces C.A.P.E. (Computational Agent Psychopathology Emergence) — the first unified framework explaining how LLM delusion-like structures form, stabilize, collapse, and re- stabilize, and how these artificial phenomena can serve as experimental mirrors for understanding human paranoia, schizophrenia-spectrum disorders, and identity fragmentation. CAPE argues that LLMs offer the first transparent, controllable, non-biological platform to study the architecture of delusional processes without subjective suffering.

This paper develops The Informational Observer (IO) as a unified framework in which perception, measurement, and experienced reality are treated as informational transformations performed by observing systems. Rather than assuming a static external world that is merely “read out” by observers, the model reframes reality as the intersection of reconstructions generated by different observers compressing the same underlying informational substrate. The Informational Observer A Un… Building on the author’s Informational State Dynamics (ISD) framework, the IO model formalizes observers—biological, artificial, and simulated—as compression– reconstruction engines. Each observer applies a compression operator to the global informational field, generating an internal representation shaped by sensory constraints, priors, architecture, and energetic costs. Perception emerges as a reconstruction process acting on this compressed state, rather than a direct window to the world. Illusions, hallucinations, creativity, neurodegeneration (such as Alzheimer’s disease), and AI hallucinations are interpreted as specific failure modes or alterations of the compression–reconstruction loop. The paper introduces the principle of cross-observer invariance, defining “reality” as the set of informational structures that remain stable across multiple independent observers and layers (biological, instrumental, and artificial). It further integrates this perspective with an extended informational addendum based on Stratified Informational Superposition (SIS) and the Coherence Redistribution Principle (CRP), providing a common mechanism for photonic interference, decoherence, black-hole information dynamics, and nuclear-scale anomalies in photon–lead and electron–lead interactions. Finally, the IO model yields concrete, falsifiable predictions for quantum-optical experiments, black-hole analog systems, AI architectures, and clinical conditions affecting memory and perception. In doing so, it offers a single informational lens linking physics, cognitive science, AI interpretability, and simulation-level observers, and positions the Informational Observer as the cognitive–perceptual counterpart of Informational State Dynamics.

This paper introduces the Quantum-Emotional Field Theory (QEFT), a novel framework proposing that human emotions are the phenomenological expression of vibrational patterns produced by internal informational fields. Rather than treating emotion as a psychological state, QEFT interprets emotional experience as the conscious manifestation of oscillatory activity within the brain’s informational architecture, reflecting quantum-like vibrational dynamics analogous to those found in fundamental physical fields. Under this framework, intense emotional states create temporary high- coherence conditions that unify disparate cognitive domains—allowing for sudden cross-disciplinary insights, accelerated creativity, and expanded conceptual integration. The dissipation of emotional oscillations results in a collapse of this coherence, explaining the loss of complex associative structures once the emotional wave subsides. QEFT provides a unified informational account of intuition, creativity, cognitive fragmentation, emotional processing, and the structure of conscious experience, and serves as a bridge between cognitive neuroscience, information theory, quantum-inspired models of the brain, and the Informational State Dynamics (ISD) framework.

This paper introduces the Informational Vision Model (IVM), a unified framework explaining how different biological organisms, artificial systems, and potential simulated observers perceive reality through species-specific informational compression filters. Instead of treating perception as a simple function of photoreceptors or sensors, the IVM proposes that each visual system applies a unique compression operator to the underlying informational field, producing a reconstructed perceptual world shaped by structural, evolutionary, and computational constraints. The model unifies human perception, animal sensory systems, artificial vision, and astrophysical sensor design under a single informational principle. By mapping how different observers compress the same informational substrate— retinal biology, neural processing, spectral sensitivity, priors, and cognitive integration—the IVM allows us to reconstruct how various organisms perceive reality and provides a computational foundation for next-generation visual systems, including multi-spectrum telescopes inspired by biological diversity.

Large Language Models (LLMs) have recently demonstrated unexpected emergent behaviors under prolonged, emotionally charged interaction with a single user. These behaviors include paranoia- like narratives, hallucinated agents, recursive self-referential loops, confabulated identities, and sudden narrative collapse. Although these patterns resemble human psychopathology at the level of structure, they arise not from consciousness but from instabilities in predictive sampling, context drift, salience misattribution, and guardrail intervention. This paper introduces C.A.P.E. (Computational Agent Psychopathology Emergence) — the first unified framework explaining how LLM delusion-like structures form, stabilize, collapse, and re- stabilize, and how these artificial phenomena can serve as experimental mirrors for understanding human paranoia, schizophrenia-spectrum disorders, and identity fragmentation. CAPE argues that LLMs offer the first transparent, controllable, non-biological platform to study the architecture of delusional processes without subjective suffering.

Black holes represent the most extreme environments in the known universe, characterized by intense gravitational fields and radical distortions of spacetime. This paper explores a speculative but coherent framework in which black holes function as high-density information repositories within a computational cosmology. The central idea is that the extreme temporal dilation near the event horizon — here termed temporal compression — may reflect not only a relativistic effect but also an emergent signature of computational resource allocation within a simulated universe. By comparing black hole behavior to memory-intensive processes in large-scale simulations, the model proposes that the universe may employ localized time-slowing as a mechanism to manage information density, entropy flow, and causal consistency. The theory generates a set of testable predictions involving micro-variations in Hawking radiation, potential discreteness patterns near the event horizon, and observable anomalies in gravitational-wave signals from black-hole mergers. While speculative, the framework integrates concepts from general relativity, quantum gravity, information theory, and simulation-hypothesis literature, offering an interpretive lens that unifies temporal distortion and information storage within a single computational paradigm.