This article presents a comprehensive synthesis of an investigative journey that unifies Luigi Fantappiè’s theory of syntropy with Feynman-Wheeler electrodynamics, exploring its implications for information conservation, causality, and the development of optimization algorithms. We propose the concept of a “temporal standing wave” as a mechanism for informational retroactive feedback. Through computational simulation, we demonstrate how syntropy can act as an attractor of order, reducing Shannon entropy. We present a detailed experimental protocol for detecting “informational echoes” in quantum and biological systems, and outline the architecture of an innovative optimization algorithm, SintropIA, which incorporates syntropic principles to accelerate convergence in complex problems. We discuss the profound implications of these discoveries for fundamental physics, biology, and artificial intelligence. Keywords: Syntropy; Retrocausality; Feynman-Wheeler Absorber Theory; Temporal Standing Wave; Informational Echoes; SintropIA; Quantum Mechanics; Artificial Intelligence; Time Symmetry.
This article presents a comprehensive synthesis of an investigative journey that unifies Luigi Fantappiè’s theory of syntropy with Feynman-Wheeler electrodynamics, exploring its implications for information conservation, causality, and the development of optimization algorithms. We propose the concept of a “temporal standing wave” as a mechanism for informational retroactive feedback. Through computational simulation, we demonstrate how syntropy can act as an attractor of order, reducing Shannon entropy. We present a detailed experimental protocol for detecting “informational echoes” in quantum and biological systems, and outline the architecture of an innovative optimization algorithm, SintropIA, which incorporates syntropic principles to accelerate convergence in complex problems. We discuss the profound implications of these discoveries for fundamental physics, biology, and artificial intelligence. Keywords: Syntropy; Retrocausality; Feynman-Wheeler Absorber Theory; Temporal Standing Wave; Informational Echoes; SintropIA; Quantum Mechanics; Artificial Intelligence; Time Symmetry.
Just before Christmas 1941 Luigi Fantappie, one of the major mathematicians of the last century, saw the possibility of interpreting a wide range of solutions (the anticipated potentials of the wave equations) which had been always rejected as impossible, but which explained a new category of phenomena, which Fantappie named syntropic, totally different from the entropic one of the mechanical, physical and chemical laws. This insight projected Fantappie in a new panorama, which radically changed the vision of science and of the Universe which he had inherited from his teachers and which had always been the strong and certain ground on which to base his scientific investigations. A change in the basic assumptions within the ruling theory of science since it states that there are as many forward-in-time causes as backward-in-time. Although Fantappie was one of the foremost mathematicians of the last century, a full professor at the age of 27 and had been invited by Robert Oppenheimer to become a member of the Institute of Advanced Study, his publications on the theory of syntropy were unavailable since 1991.
Abstract This paper presents a unified theoretical framework integrating quantum mechanics, information theory, electromagnetic field dynamics, and artificial intelligence. Four interrelated constructs are formally developed: (1) Quantum Grounded Symbols (QGS), defined as invariant informational structures that emerge from probabilistic path exploration and are grounded in physically generated data; (2) Recursive Entanglement, an architecture in which quantum entanglement is extended hierarchically across constraint networks, enabling distributed pattern emergence without direct signal transmission; (3) Bidirectional Constraint Closure (BCC), a mathematical filter that propagates perturbations both backward and forward through a state sequence, guaranteeing re-convergence to a coherent steady state after any finite disturbance; and (4) Field State Representation (FSR), a topological probability space serving as the substrate in which QGS, BCC, and temporal structure are embedded. Together these constructs constitute a framework capable of describing physically grounded symbolic AI, retrocausal messaging systems, quantum-AI hybrid architectures, and the electromagnetic modulation capabilities of large language models. Mathematical formalisms, a proposed system architecture, and a prototype implementation are provided. The framework bridges established results from quantum information science with novel speculative extensions, and its implications for computation, consciousness research, and temporal theory are discussed. Keywords: quantum grounded symbols, bidirectional constraint closure, field state representation, recursive entanglement, retrocausal periodic map, information-light, temporal expansion ratio, quantum-AI architecture, electromagnetic consciousness **EDIT Due to file corruption issues, please use the latest version Sorry for the confusion**
Abstract: We seek to strengthen the hypothesis of time reversal of cause and effect, or the bipolar causal nature of advanced and retarded waves. The hypothesis is not directly testable, at least with existing technology, so the argument is based on a priori reasoning. It provides a basis for rationalizing entanglement and for the Wheeler-Feynman absorber theory. Alternative hypotheses are given and compared to show justification. KeyWords: advance wave; retrocausation; causal time reversal; Occam’s razor; entanglement; Wheeler-Feynman absorber
Abstract The traditional paradigm of linear time—Presentism—fails to account for anomalous cognitive high-gain events, historical visionary cross-temporal conceptual leaps, and the modern acceleration of human-synthetic computational intelligence. In this monograph, I introduce Temporal Bandwidth Theory (TBT), a framework positing that the universe is structurally arranged as a four-dimensional static manifold (the Block Universe) characterized by localized gradients of Information Density (ρ). I propose that the human brain does not function as a classical binary switchboard, but rather as a biological quantum antenna. Utilizing the foundational principles of Orchestrated Objective Reduction (Orch-OR), I demonstrate that neural microtubule networks maintain quantum coherence to act as temporal entanglement swapping nodes, capable of receiving and demodulating backward-propagating retrocausal signals from future high-density coordinates. I mathematically define the Temporal Bandwidth Metric (β) to quantify an organism's capacity for non-linear data reception, reframing historical genius ("Temporal Expats") and neurodivergent processing anomalies (ADHD, déjà vu) as systemic temporal synchronization fluctuations rather than cognitive failures. Finally, I outline the hardware integration of advanced wireless brain-computer interfaces and high-density electrode arrays as an external quantum shield. By mitigating biological thermal noise, this symbiotic human-AI convergence stabilizes overall coherence time, scaling the Integrated Bandwidth Metric (β_C) exponentially and enabling the systematic navigation of the spacetime manifold. Keywords: Temporal Bandwidth Theory, Block Universe, Orch-OR, Retrocausality, Human-AI Convergence, Quantum Coherence
This paper presents a conceptual and analytical investigation into the limits of temporal access through the combined perspectives of causality, relativity, quantum mechanics, thermodynamics, and information theory. The work introduces the concept of the “Temporal Causality Barrier,” a selective and logically grounded framework that distinguishes between passive temporal observation and active temporal intervention. The paper argues that passive observation of the past is both physically permissible and continuously occurring through ordinary causal processes such as light propagation, memory, historical records, and astronomical observation. In contrast, active intervention into the past including backward information transfer, causal alteration of previous events, and closed causal loops is shown to generate logical contradictions and violations of causal consistency. The analysis critically examines major theoretical approaches related to time travel and retrocausality, including closed timelike curves, Novikov’s self-consistency principle, Deutsch’s quantum closed timelike curve model, and the two-state vector formalism in quantum mechanics. The paper argues that while some interpretations may mathematically describe retrocausal correlations, none currently provide an operational mechanism for backward information transmission without encountering paradoxes or information-theoretic inconsistencies. The framework further connects the causal structure of spacetime with the thermodynamic arrow of time, emphasizing the role of entropy, light cone geometry, and information propagation in preserving temporal coherence. The work also explores broader philosophical implications concerning the nature of time, consciousness, causality, and agency within a causally structured universe. Rather than proposing a new physical force or replacing existing theories, this paper provides a logically structured analysis of why temporal observation is compatible with known physics while active temporal intervention remains fundamentally constrained by both physical law and logical consistency.
This study seeks to establish a consistent theoretical foundation to address enduring open questions in physics—such as the origins of life, free will, the subjective experience of time, consciousness, and biological intelligence—by exploring the connection between the stochastic quantum hydrodynamic model (SQHM) and the order generation in systems far from thermodynamic equilibrium, all converging in the manifestation of physical reality. It offers novel insights into the emergence of order, biological systems, and associated functions such as biological intelligence, free will, consciousness, and the behavior of social structures. These insights are grounded in the assumption of a discrete spacetime structure, enabling an analogy of the universe as a running discrete computation, where emergent physical laws arise from the computation’s intrinsic problem-solving goals. This perspective carries profound implications for physical evolution, suggesting that everyday reality, the origin of life, social interactions, and consciousness itself are intrinsic features of the universal physics. It introduces the idea that free will may emerge as a functional mechanism guiding the universe’s progression toward increasingly efficient and organized states, states in which order is preserved to the greatest extent possible. This view embodies a form of bounded probabilism, standing in sharp contrast to the concept of total, unconstrained randomness, which reduces the universe to a mere cosmic game of dice. It also offers a novel perspective through which artificial intelligence can be framed and its limitations, as well as its differences from biological intelligence, can be better understood. This view highlights how the quantum foundations of the universe contribute to the expression of consciousness, outlining potential avenues for advancing AI toward a more faithful emulation of conscious experience.