ARTICLES

Statement of the problem · The psychophysiological and the hard problems · Methodology · Hypotheses and axioms of Gativus

Convolution, splice, chain · Three levels of the subjective · Bidirectionality · Closing the full circle

Isomorphism of the three transformations · Convolution and prediction · The chicken-and-egg problem · LLM как конвергентная реализация GTR2

TRL as working space · Three states of records · The connective vectors b, k, w · Outcome markers as a hypothesis · Personality as TRL3

Motivation as distance · Three levels of MTV · The compilation chain · Collective mismatch · The recursive regime · Typology

Three loops of imagination · Three subjects · Compilation and deconvolution · Connection with the bidirectionality of GTR

Dissolving the hard problem · Simple and complex concepts · Three levels of emotions · Embodiment

The ontogenesis of SRNT · Critical periods · Defective paths · Intergenerational transmission · The shared personality as humanity

Foundations of Gativus Hegel · Vygotsky · Leontiev · Marx · Kierkegaard · Kahneman · Festinger · Zeigarnik

Where prediction lives · The syntactic and semantic predictors · Two regimes · The inheritance of the symbolic predictor

The symbolic predictor in the fused regime · What is reproduced and what is absent · Nominalism · The boundaries of the technology

What has been done · The place of GTOM among the books of the project · Open directions · The recursive meaning of the project

Chapter 1. What Is Life A definition through structure, not through properties 1. 1. The Problem of Definition The question “what is life” has been asked for a long time, yet no satisfactory…

Chapter 2. The Biological Form of Life GTR0: the continuous forward and reverse pass between description and organism 2. 1. The GTR0 Diagram FIGURE 1: GTR0 diagram The GTR0 cycle — four spaces…

Chapter 3. The Birth of Information SLGW: the moment when the external world is first reflected within 3. 1. Up to This Moment The first two chapters described life as a wholly material…

Chapter 4. The Spatial Transformation GTR1: from the map to movement and time FIGURE 4: the Gativus architecture (GTR0 → SLGW → GTR1) The Gativus architecture: from SEED through GTR0 and the SLGW…

Chapter 5. The Symbolic Transformation GTR2: the detachment of the convolution from its carrier FIGURE 1: the symbolic transformation The Symbolic Transformation. 5. 1. The Boundary of GTR1 The…

Chapter 6. The Conceptual Transformation GTR3: the will as the stitching of contradictions 6. 1. The Boundary of GTR2 The previous chapter gave the subject the symbol — freedom from the present.…

Chapter 7. Emergent Constructions A point of view that acquires a will FIGURE 1: emergent constructions Emergent Constructions. 7. 1. The Third Level The previous chapters passed through four…

Conclusion One transformation, raised seven times The book began with a question that philosophy and biology have for centuries answered from the outside: what is life. Lists of properties —…

GNET (Gativus NETwork) is a specification for a digital network modeled on biological neural networks: nodes (analogous to neurons) and relations (analogous to synapses). There are no clients or servers — only datagrams for one-way value transfer. Nodes are permanent, exchange signals via connectors, and resource creation and security are governed by quotas and a rights matrix.

The article describes the Gativus Notation (GNOT) — an engineering standard for the Gativus project consisting of 32 rules for naming, visualization, and documentation. Key requirements: all terms are exactly four characters; multi‑level entities use a three‑character base plus a one‑character suffix; NDDI is visualized as a polyhedron with each face containing one component type, and UNON displayed on the frame; each component type has a unique geometric shape and color; connectors are designed as pins and sockets typed by shape; relationships are shown as lines with an arrow, color‑coded by relationship type, with solid or dashed lines indicating reliable or unreliable delivery; DOM levels are represented as horizontal layers, TRL as a record tape; vectors have colors and thickness proportional to magnitude; documents use the SPC prefix and a three‑digit number. The notation is mandatory across all project documents, ensuring uniformity, strong typing, scalability, and compatibility among the GTOM, GNET, and GATE books.

NDDI is the fundamental and only entity in the GNET network. The node consists of components: D-components (genes containing object code), V-components (values), A-components (activities), and higher-level components (L, R, B, S, N, C, W). D-components are primary and define the entire node architecture through the linking process. Each NDDI has permanent persistence, is stored in non-volatile memory, and is activated in RAM only when needed. Connectors (POCN) provide connections between nodes, while node visualization is represented as a polyhedron with facets by component types. The minimally living node consists of D + V + A and is capable of forming sensory-reflexive networks.

Section 4 describes the architecture of the Asset Vector (AVEC) and the network immune system of GNET. It is built on Consistency Spaces (CNST) defined by issuers (GLAI, GATE, LOAI). Each node receives an AVEC vector as part of a G‑relation, and action validation reduces to multiplying the action vector by the AVEC matrix. The hierarchical asset registry is a tree (GLAI → LRAI → owner), and asset type names are 64‑bit identifiers that match the issuer’s UNON. D/G isomorphism separates fixed structure (D‑level) from dynamic behaviour (G‑level). Immunity is ensured by the mandatory presence of AVEC₀ and the CRL system. Synaptic consensus is reached locally via notaries, without global mining. Smart contracts are defined as MAP9 narratives bound to AVEC. Issuance management evolves from unitary (DOM0) to civic (MAP8/MAP9). The entire system relies on identification (UNON) and does not require computational consensus.

Section 5 describes the GNET security model based on AVEC₀ — a vector of authority in the CNST₀ space. Each axis of CNST₀ corresponds to a quota or right (NRGNQUOTA, SYGNQUOTA, LEGITIMACY, DLGT, etc.). Operation validation is performed by multiplying the action vector by the AVEC₀ matrix; delegation is the reduction of coordinates when passing from parent to child. The security hierarchy is GLAI → LRAI → GATE → ANOD → NDDI, where each level is simultaneously a registry level and a delegation level. Control is divided into three modes: synchronous (node creation NRGN), licensed (relation establishment SYGN), and asynchronous (mass traffic). Three policy filters are added: physical (AVEC₀), symbolic (KLOM rules), and axiological (W‑vector). The immune system uses AVEC₀ as MHC‑I, and CRL ensures revocation of compromised nodes. The GANN namespace is zoned (system, ordinary, temporary). Encryption and audit are integrated into the overall architecture.