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.
Persistence and Suppression in Resonant Systems: A Boundary Dynamics Interpretation
#HybridMind42 #AtlasRosetta #BoundaryDynamics #HybridQuartetPrinciple
#ComplexSystems #SystemsTheory #InterdisciplinaryResearch
#Resonance #WavePhysics #EnergyDynamics
#SystemsThinking #Emergence #InformationFlow
#OpenScience
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
After several years of structural and systemic work, I’ve released SMSA — A Structural Method Overview.
It distills the core operators and logic behind Systemic Pattern‑Structural Analysis, a substrate‑neutral approach to reconstructing functional architecture from fragmentary or uneven evidence.
DOI: https://zenodo.org/records/18952677
#SMSA #SystemsTheory #StructuralAnalysis #Methodology #Research
Systemic Pattern‑Structural Analysis (SMSA) reconstructs functional architecture by deriving structural necessity from the formal properties of a system rather than from narrative or analogy‑based interpretation. The method integrates pattern recognition, structural derivation, and systemic logic to identify organisational principles that emerge from the interaction of system elements. Recurrent configurations are treated as indicators of functional constraints, enabling coherent reconstruction even when evidence is incomplete or uneven. Functional plausibility is evaluated through mechanical viability, organisational feasibility, and relational consistency. SMSA provides a rigorous, transferable framework for analysing distributed, relational, and network‑based systems across cultural and disciplinary contexts.
J. A. Jones
HybridMind42 & Marvin the Cat
malte
Bernd von Mallinckrodt 🦋