GNET

Gativus Network

Specification of network topology. Describes NDDI node interaction protocols, GORP routing, datagram formats, and distributed ledger mechanisms.

Introduction to GNET

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.

Gativus Notation (GNOT)

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.

Structure of the NDDI Node

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.

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