This is a browser-based cellular automaton experiment that takes a different approach to the same challenge as the trend-aware experiment: how do you keep a self-tuning CA alive and interesting? Here the key innovation is that the rule parameters are not uniform scalars — they are spatial fields.… Read More “Neural CA: Spatial Parameter Fields and Greatest-Hits Memory”
Category Archives: Information Physics
Neural CA: Trend-Aware Agents Learn to Keep a Cellular Automaton Alive
This is a browser-based cellular automaton in which two cooperating neural agents learn — in real time, from scratch — to keep the simulation alive and interesting. No pre-training, no external data. The neural network trains itself as the simulation runs, and the agents use what they’ve learned to steer the system away from death and toward sustained complex behavior.… Read More “Neural CA: Trend-Aware Agents Learn to Keep a Cellular Automaton Alive”
Introducing LACE – A New Kind of Cellular Automata
This article is about a new kind of simple computational rule (“LACE rules” running on LACE, the Link Automata Computing Engine platform) which, when applied locally on a grid of cells, demonstrates fascinating emergent “artificial life” behavior.
For readers familiar with the Game of Life (GOL), this is a next-level class of cellular automata that utilizes neighborhood topology — the state of the grid is a function of both cell states and their connectivity (links).… Read More “Introducing LACE – A New Kind of Cellular Automata”
A New Mathematics of Self-Reference: A Comprehensive Non-Mathematical Summary
What This Work Is About
This article explains my paper on the
Mathematics of Self-Referential Systems, for a non-technical audience. The paper develops a comprehensive mathematical framework for understanding systems that can represent, model, or “know” themselves. While self-reference has long been seen as a source of logical paradoxes, this work argues it may be the fundamental organizing principle of reality itself—and provides specific mathematical bounds and requirements for achieving different levels of self-awareness.… Read More “A New Mathematics of Self-Reference: A Comprehensive Non-Mathematical Summary”
The Mathematical Foundations of Self-Referential Systems: From Computability to Transfinite Dynamics
This article explains my paper on the
Mathematics of Self-Referential Systems.
Here is a summary
Decoding Reality’s Blueprint: An In-Depth Look at “The Mathematical Foundations of Self-Referential Systems”
Have you ever wondered about the deep, perhaps even unsettling, nature of a thought thinking about itself?… Read More “The Mathematical Foundations of Self-Referential Systems: From Computability to Transfinite Dynamics”
Cosmological Evolution of the Information Field: Running Complexity Coupling and Unified Cosmological Phases
This paper explores whether the complexity density field ω(x,t) of Information Physics could play a cosmological role — driving inflation, contributing to dark energy, and providing a unified framework for the cosmic history. The model belongs to the broad class of quintessence models with a running coupling.… Read More “Cosmological Evolution of the Information Field: Running Complexity Coupling and Unified Cosmological Phases”
Information Geometric Origins of Mass, Charge, and Fundamental Symmetries from Ω-Field Configurations
This paper explores whether the gauge group structure of the Standard Model — U(1)Y × SU(2)L × SU(3)C — can be understood as the inevitable consequence of quantum information processing requirements, rather than as an empirical fact to be postulated.… Read More “Information Geometric Origins of Mass, Charge, and Fundamental Symmetries from Ω-Field Configurations”
Quantum Dynamics of the Ω-Field: Ω-Quanta, Fundamental Interactions, and Informational Uncertainty
This paper canonically quantizes the complexity fluctuation field ψ(x,t) developed in IP.Field, treating it as a standard massive scalar quantum field. The result — termed Ω-quanta or “omegons” — are scalar bosons whose mass is set by the free parameters κ and β² of the classical theory.… Read More “Quantum Dynamics of the Ω-Field: Ω-Quanta, Fundamental Interactions, and Informational Uncertainty”
The Ω-Field: Classical Field Theory for Information Geometric Complexity
Given a conjectured energy-complexity relationship dE = πkBT dΩ (developed in IP.Found), this paper constructs the simplest classical field theory for a spatially distributed information geometric complexity density ω(x,t). The fluctuation field around thermal equilibrium satisfies standard massive Klein-Gordon dynamics, with all predictions expressed in terms of two free parameters.… Read More “The Ω-Field: Classical Field Theory for Information Geometric Complexity”
The Energetic Cost of Information Geometric Complexity: Convergent Derivations of dE = α₀dΩ from Thermodynamic, Gravitational, and Action Principles
This paper develops theoretical support for a conjectured relationship between physical energy and information geometric complexity, dE = α₀dΩ, motivating the form α₀ = πkBT through three independent lines of reasoning: an extension of Landauer’s erasure principle to geometric complexity, a derivation from black hole thermodynamics, and an action principle consistency check.… Read More “The Energetic Cost of Information Geometric Complexity: Convergent Derivations of dE = α₀dΩ from Thermodynamic, Gravitational, and Action Principles”
The Information-Gravity Synthesis: Field Dynamics of the Information Complexity Tensor
This paper develops the classical field theory for the Information Complexity Tensor Cμν — a tensor field sourced by information geometric complexity Ω — and its dynamics as a physical tensor field. The central hypothesis is that Ω sources gravity not just through the scalar stress-energy of the ω-field (IP.Field)… Read More “The Information-Gravity Synthesis: Field Dynamics of the Information Complexity Tensor”
Information Processing Complexity as Spacetime Curvature: A Formal Derivation and Physical Unification
This paper develops the hypothesis that information processing complexity Ω — the integral of squared Riemann curvature of a system’s Fisher information manifold — contributes a novel stress-energy term to Einstein’s field equations, over and above the ordinary heat dissipation already accounted for by Landauer’s principle.… Read More “Information Processing Complexity as Spacetime Curvature: A Formal Derivation and Physical Unification”
From Information Physics to Alpha Theory
Status note (April 2026): The papers in this series on Information Physics have been substantially revised and clarified, but still contain conjectures and speculative explorations. The NEMS formal research program — the machine-checked suite of 93 papers and 17 Lean 4 libraries — is a separate, more rigorous program described at novaspivack.com/research… Read More “From Information Physics to Alpha Theory”
Toward a Geometric Theory of Information Processing: Mathematical Foundations, Computational Applications, and Empirical Predictions
Geometric Information Theory applies differential geometry to the parameter spaces of information processing systems — neural networks, biological brains, and self-referential systems. This paper presents the mathematical framework, its computational predictions (well-grounded), its biological hypotheses (medium confidence), and its consciousness applications (highly speculative).… Read More “Toward a Geometric Theory of Information Processing: Mathematical Foundations, Computational Applications, and Empirical Predictions”