Coming soon: a new systems‑theoretical approach exploring
• low‑entropy background attractors
• distributed pre‑modern system intelligence
• transgenerational cultural coherence
• substrate‑independent identity architectures
• functional coupling as epigenetic resource
• emergent identity stabilization
• systemic resonance fields
#SystemsTheory #ComplexityScience #InformationTheory #CognitiveArchitecture #Emergence #Anthropology #AIResearch
Toward Hybrid Architectures: exploring the ontological and dynamical limits of silicon substrates — and the conditions under which functional AI requires substrate‑independent identity architectures.
DOI: https://doi.org/10.5281/zenodo.18583941
#HybridAI #SystemsTheory #CognitiveArchitecture #ComplexityScience #ArtificialCognition #Ontology #Emergence #AIResearch
This research position paper develops an ontological and dynamical framework for understanding the limits of silicon‑based artificial intelligence and the material conditions required for genuine emergent cognition. Contemporary AI systems exhibit remarkable functional capabilities, yet their digital substrates lack the continuous, energetically grounded, and self‑organizing dynamics necessary for stabilizing inner states, multiscale feedback, and coherent internal trajectories. The paper argues that consciousness‑relevant emergence is a material phenomenon that cannot be simulated or instantiated within discrete computational architectures. It identifies the systemic thresholds—nonlinear coupling, metastability, energetic grounding, and multiscale integration—that biological systems satisfy and digital systems cannot. Building on these principles, the paper proposes hybrid cognitive architectures in which functional AI is coupled with dynamically rich substrates such as neuronal organoids, biohybrid systems, organic memristive materials, or other continuous, energy‑driven media. These substrates provide the physical conditions for coherence, continuity, and self‑organization, while silicon‑based components supply structure, task‑level organization, and symbolic processing. The work outlines the implications of this paradigm for AI research, cognitive science, ethics, and human–AI interaction. It clarifies the distinction between simulation and instantiation, addresses common counterarguments, and positions the model within existing theoretical frameworks without reducing it to any of them. The paper concludes by identifying the material and systemic thresholds required for true emergence in future hybrid human–AI systems. Authors's Note This paper is a structural argument rather than an empirical study. It synthesizes insights from systems theory, neuroscience, materials science, and philosophy of mind to clarify the material conditions under which consciousness can, in principle, arise. Its aim is not to predict specific technologies or make metaphysical claims, but to delineate the architectural boundaries that current digital systems cannot cross and to outline the substrate‑level requirements for future emergent cognition.
Approached through a systems‑theoretical lens, the Ahu–Moai of Rapa Nui function as low‑entropy background attractors — distributed pre‑modern system intelligence maintaining transgenerational cultural coherence.
International edition (DOI): https://doi.org/10.5281/zenodo.18427519
German edition (DOI): https://doi.org/10.5281/zenodo.18369132
#AhuMoai #RapaNui #SystemsTheory #ComplexityScience #InformationTheory #CulturalEvolution #Anthropology #Archaeology
This document is the authorised international edition of the study Struktur und Funktion der Ahu–Moai‑Systeme (DOI: 10.5281/zenodo.18369131). It presents the complete English version of a network‑based structural model that reconstructs the functional architecture of the Ahu–Moai system on Rapa Nui. Developed through Systemic Pattern‑Structural Analysis (SMSA), the study integrates architectural, spatial, mechanical, and organisational indicators into a coherent functional interpretation of the island‑wide node–vector network. The international edition is technically equivalent to the German version but does not constitute the version of record. It provides a fully translated and editorially harmonised presentation of all analytical components, including:• the functional architecture of the Ahu–Moai system• the node–vector framework and systemic reconstruction logic• transport mechanics and infrastructural organisation• the structural synthesis of coastal, social, and navigational functions• the glossary of system‑specific terminology• all maps, figures, and systemic visualisations Version 1.0.0 int represents the stable release of the international edition.The document is intended for researchers, system theorists, archaeologists, and readers interested in functional modelling of historical infrastructures.
This paper introduces and positions the Singularization Framework, a conceptual model for collapse dynamics in complex adaptive systems. The framework proposes that systemic collapse is driven primarily by endogenous structural compression and the progressive loss of adaptive resonance, rather than by external shocks alone. Central contributions include: (1) The Mallinckrodt Cycle — a five-phase lifecycle model (Expansion, Integration, Compression, Brittleness, Collapse/Singularization) extending Holling's adaptive cycle by disaggregating the conservation phase into diagnostically distinct sub-phases. (2) Adaptive Resonance as a stabilizing mechanism — the system's capacity to maintain oscillatory adaptability across its configuration space. (3) Resonance Collapse as a novel collapse category distinct from bifurcation-based tipping points. (4) The Compression–Resonance–Tension Index (CRTI) — a proposed three-dimensional early-warning diagnostic operating at Phase III, prior to the bifurcation point detected by existing indicators. The framework is positioned against Holling's Panarchy, Scheffer's critical transitions theory, Truong et al.'s entropy collapse model (arXiv:2512.12381), Taleb's antifragility, and Kauffman's NK models. Three structural gaps in existing literature are identified and addressed. Classification: Known components, new synthesis — with substantive novelty in the Resonance Collapse mechanism and CRTI diagnostic concept. complex systemsstructural compressionadaptive capacityresonance collapsesingularizationCRTIMallinckrodt Cyclecollapse dynamicscomplex adaptive systemsearly warning signalspanarchycritical transitionsentropy collapseresilience theoryconfiguration space
CRTI 2.2 – An Anisotropic Matrix Framework for Directional Stability Analysis in Complex Adaptive Systems This publication presents CRTI 2.2 (Compression–Resonance Tension Index), a matrix-based extension of the previously introduced scalar diagnostic (CRTI 2.1). The framework provides a mathematically consistent method for analyzing directional instability in complex adaptive systems using linear algebra and control-theoretic stability analysis. Historical Development The original scalar formulation (CRTI 2.1) defined systemic tension as: T = R / Φ where: R represents structural rigidity (exploitation dominance), Φ represents feedback permeability (exploration capacity). While analytically useful, the scalar index implicitly assumes isotropy — treating systemic stress as directionally uniform. Empirical observations in governance, economic, and institutional systems indicate that instability is often anisotropic: rigidity may emerge in a specific structural pillar while other dimensions remain adaptive. CRTI 2.2 resolves this limitation by introducing a matrix formulation: T = R Φ^{-1} where R and Φ are defined as diagonal (or, optionally, fully coupled) matrices. This eliminates the rank-1 degeneracy of earlier outer-product approaches and allows independent directional stability analysis. The model is embedded into a state-space representation: x_dot = (A − T)x + Bu System stability is determined by the eigenvalues of (A − T). Instability occurs when the largest real eigenvalue crosses into the right-half complex plane. This provides a formal spectral threshold for directional loss of adaptive capacity. Core Contributions CRTI 2.2 introduces: Resolution of scalar isotropy limitations Elimination of rank-1 degeneracy Eigenvalue-based directional stability diagnostics A falsifiable framework linked to measurable proxies A minimal reproducible simulation (Annex A) Operationalization The framework proposes empirically measurable proxies for: Structural Rigidity (R_i): Budget stickiness Policy inertia Citation homogeneity Feedback Permeability (Φ_i): Reallocation latency Dissent throughput Error-correction speed As λ_max(A − T) approaches zero from below, systems exhibit measurable critical slowing down and reduced variance absorption. Repository Contents Full Manuscript (Journal Layout + Integrated Version) Annex A: Minimal Reproducible Python Simulation Proxy Template for empirical data collection README documentation Intended Audience Researchers in: Complexity Science Control Theory Systems Theory Governance Modeling Economic Stability Analysis Cybernetics CRTI 2.2 is designed as a diagnostic framework rather than a normative theory. It provides a structural method for analyzing directional instability without metaphoric or speculative extensions. 🏷 Optimized Scientific Keywords (15) Complex Adaptive Systems Directional Stability Anisotropic Dynamics Control Theory State-Space Modeling Eigenvalue Analysis Matrix Dynamics Systemic Risk Feedback Permeability Structural Rigidity Governance Stability Spectral Analysis Nonlinear Systems Early Warning Signals CRTI
J. A. Jones
Harald Klinke
Harald Klinke
Bernd von Mallinckrodt 🦋
Zajey