На стыке фундаментальной онтологии, формальных систем и сложных архитектур.
Основания сложных систем • Исследовательская программа • Фундаментальные модели и прикладные конструкты
AstraVerge Research — долгосрочная исследовательская инициатива, сосредоточенная на основаниях сложных систем и объединяющая фундаментальную онтологию, формальные системы и разработку прикладных конструктов для структурного анализа и архитектуры.
Фундаментальная онтология нулевого уровня, основанная на дискретных локальностях, актах когерентности и последовательном порядке как примитивной структуре бытия.
Узнать больше →A structural ontology of complex systems describing the forms, patterns, and organizational principles through which coherent multi-component structures emerge, interact, and degrade.
A formal epistemic framework that models how observations are generated, aligned, and validated within multi-component systems through locality-based coherence rules.
A foundational research program exploring the structural conditions under which uncertainty arises, propagates, and constrains coherent systems.
An exploratory program studying the structure and limits of energetic flows in discrete coherent systems.
Analytical studies on epistemology, systems theory, and philosophical foundations relevant to complex coherent structures.
A universal quantitative framework for evaluating system and business-contour availability across heterogeneous IT architectures.
A formal segmentation-based model for structuring mixed data flows, enabling deterministic interpretation, self-synchronization, and robustness under partial corruption.
Research on discrete structures, coherence boundaries, and the formal architecture of Being as a structured system.
Multi-component systems, structural interactions, and formal verification through coherence-based dynamics.
Availability metrics, risk models, and frameworks for complex socio-technical and ecological architectures.
A formal framework for representing, verifying, and simulating multi-component systems via coherence conditions.
Read publication →An introductory overview of the discrete ontology, coherence acts, and the sequential architecture of Being.
Read publication →Development of the fundamental ontology of discrete systems, including the Philosophy of Discrete Being (FDB), axioms of coherence, actor-order, and formal definitions of locality, interaction, and structural invariants. This layer establishes the conceptual and formal ground on which all subsequent models are built.
Construction of the Coherent Observational Epistemology (COE): formal models of how observations are produced, aligned, and validated across independent localities, including consistency criteria, coherence metrics, and verification procedures for multi-component systems.
Development of operational indices such as the p-index, Unified Availability Model (UAM), and related frameworks that quantify stability, reliability, and coherence in distributed, heterogeneous, and risk-exposed systems.
Application of the foundational and epistemic frameworks to real-world system design, including IT architectures, risk models, observability systems, and complex organizational and technological environments. This layer bridges formal theory and operational practice.
Synthesis of metaphysical, epistemic, and operational layers into a unified coherent theory of discrete systems, linking structure, interaction, uncertainty, and design within a single formal framework.